diff --git a/README.md b/README.md index 3a944ced333a235be3b0042cb1c22bfe1957fcb5..247154b25ac3e9503574f242fad3ce9fdd1c45bd 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -# ![MindSpore Logo](https://gitee.com/mindspore/mindspore/raw/master/docs/MindSpore-logo.png) +# ![MindSpore Logo](https://gitee.com/mindspore/mindspore/raw/r1.6/docs/MindSpore-logo.png) ## Welcome to the Model Zoo for MindSpore @@ -16,316 +16,315 @@ In order to facilitate developers to enjoy the benefits of MindSpore framework, | Domain | Sub Domain | Network | Ascend | GPU | CPU | |:------ |:------| :----------- |:------: |:------: |:-----: | -| Audio | Speech Synthesis | [LPCNet](https://gitee.com/mindspore/models/tree/master/official/audio/lpcnet) | ✅ | | | -| Audio | Speech Synthesis | [MelGAN](https://gitee.com/mindspore/models/tree/master/official/audio/melgan) | ✅ | | | -| Audio | Speech Synthesis | [Tacotron2](https://gitee.com/mindspore/models/tree/master/official/audio/tacotron2) | ✅ | | | -| Computer Vision (CV) | Point Cloud Model | [OctSqueeze](https://gitee.com/mindspore/models/tree/master/official/cv/octsqueeze) | ✅ | | | -| Computer Vision (CV) | Optical Flow Estimation | [PWCNet](https://gitee.com/mindspore/models/tree/master/official/cv/pwcnet) | ✅ | | | -| Computer Vision (CV) | Object Tracking | [Deepsort](https://gitee.com/mindspore/models/tree/master/official/cv/Deepsort) | ✅ | | | -| Computer Vision (CV) | Object Tracking | [ADNet](https://gitee.com/mindspore/models/tree/master/official/cv/ADNet) | ✅ | | | -|Computer Vision (CV) | Image Classification | [AlexNet](https://gitee.com/mindspore/models/tree/master/official/cv/alexnet) | ✅ | ✅ | | -| Computer Vision (CV) | Image Classification | [CNN](https://gitee.com/mindspore/models/tree/master/official/cv/cnn_direction_model) | ✅ | | | -| Computer Vision (CV) | Image Classification | [DenseNet100](https://gitee.com/mindspore/models/tree/master/official/cv/densenet) | | | ✅ | -| Computer Vision (CV) | Image Classification | [DenseNet121](https://gitee.com/mindspore/models/tree/master/official/cv/densenet) | ✅ | | | -| Computer Vision (CV) | Image Classification | [DPN](https://gitee.com/mindspore/models/tree/master/official/cv/dpn) | ✅ | | | -| Computer Vision (CV) | Image Classification | [EfficientNet-B0](https://gitee.com/mindspore/models/tree/master/official/cv/efficientnet) | | ✅ | | -| Computer Vision (CV) | Image Classification | [GoogLeNet](https://gitee.com/mindspore/models/tree/master/official/cv/googlenet) | ✅ | ✅ | | -| Computer Vision (CV) | Image Classification | [InceptionV3](https://gitee.com/mindspore/models/tree/master/official/cv/inceptionv3) | ✅ | | | -| Computer Vision (CV) | Image Classification | [InceptionV4](https://gitee.com/mindspore/models/tree/master/official/cv/inceptionv4) | ✅ | | | -| Computer Vision (CV) | Image Classification | [LeNet](https://gitee.com/mindspore/models/tree/master/official/cv/lenet) | ✅ | ✅ | ✅ | -| Computer Vision (CV) | Image Classification | [LeNet (Quantization)](https://gitee.com/mindspore/models/tree/master/official/cv/lenet_quant) | ✅ | ✅ | | -| Computer Vision (CV) | Image Classification | [MobileNetV1](https://gitee.com/mindspore/models/tree/master/official/cv/mobilenetv1) | ✅ | | | -| Computer Vision (CV) | Image Classification | [MobileNetV2](https://gitee.com/mindspore/models/tree/master/official/cv/mobilenetv2) | ✅ | ✅ | ✅ | -| Computer Vision (CV) | Image Classification | [MobileNetV2 (Quantization)](https://gitee.com/mindspore/models/tree/master/official/cv/mobilenetv2_quant) | ✅ | ✅ | | -| Computer Vision (CV) | Image Classification | [MobileNetV3](https://gitee.com/mindspore/models/tree/master/official/cv/mobilenetv3) | | ✅ | | -| Computer Vision (CV) | Image Classification | [NASNet](https://gitee.com/mindspore/models/tree/master/official/cv/nasnet) | ✅ | ✅ | | -| Computer Vision (CV) | Image Classification | [ResNet-18](https://gitee.com/mindspore/models/tree/master/official/cv/resnet) | ✅ | | | -| Computer Vision (CV) | Image Classification | [ResNet-34](https://gitee.com/mindspore/models/tree/master/official/cv/resnet) | ✅ | | | -| Computer Vision (CV) | Image Classification | [ResNet-50](https://gitee.com/mindspore/models/tree/master/official/cv/resnet) | ✅ | ✅ | ✅ | -| Computer Vision (CV) | Image Classification | [ResNet-50 (Quantization)](https://gitee.com/mindspore/models/tree/master/official/cv/resnet50_quant) | ✅ | | | -|Computer Vision (CV) | Image Classification | [ResNet-101](https://gitee.com/mindspore/models/tree/master/official/cv/resnet) | ✅ | ✅ | | -|Computer Vision (CV) | Image Classification | [ResNet-152](https://gitee.com/mindspore/models/tree/master/official/cv/resnet) | ✅ | | | -|Computer Vision (CV) | Image Classification | [ResNeXt50](https://gitee.com/mindspore/models/tree/master/official/cv/resnext) | ✅ | ✅ | | -|Computer Vision (CV) | Image Classification | [ResNeXt101](https://gitee.com/mindspore/models/tree/master/official/cv/resnext) | ✅ | | | -|Computer Vision (CV) | Image Classification | [SE-ResNet50](https://gitee.com/mindspore/models/tree/master/official/cv/resnet) | ✅ | | | -| Computer Vision（CV） | Image Classification | [SE-ResNext50](https://gitee.com/mindspore/models/tree/master/official/cv/SE_ResNeXt50) | ✅ | | | -| Computer Vision (CV) | Image Classification | [ShuffleNetV1](https://gitee.com/mindspore/models/tree/master/official/cv/shufflenetv1) | ✅ | | | -| Computer Vision (CV) | Image Classification | [ShuffleNetV2](https://gitee.com/mindspore/models/tree/master/official/cv/shufflenetv2) | | ✅ | | -| Computer Vision (CV) | Image Classification | [SqueezeNet](https://gitee.com/mindspore/models/tree/master/official/cv/squeezenet) | ✅ | | | -| Computer Vision (CV) | Image Classification | [Tiny-DarkNet](https://gitee.com/mindspore/models/tree/master/official/cv/tinydarknet) | ✅ | | | -| Computer Vision (CV) | Image Classification | [VGG16](https://gitee.com/mindspore/models/tree/master/official/cv/vgg16) | ✅ | ✅ | | -| Computer Vision (CV) | Image Classification | [Xception](https://gitee.com/mindspore/models/tree/master/official/cv/xception) | ✅ | | | -| Computer Vision (CV) | Image Classification | [CspDarkNet53](https://gitee.com/mindspore/models/tree/master/official/cv/cspdarknet53) | ✅ | | | -| Computer Vision (CV) | Image Classification | [ErfNet](https://gitee.com/mindspore/models/tree/master/official/cv/erfnet) | ✅ | | | -| Computer Vision (CV) | Image Classification | [SimCLR](https://gitee.com/mindspore/models/tree/master/official/cv/simclr) | ✅ | | | -| Computer Vision (CV) | Image Classification | [Vit](https://gitee.com/mindspore/models/tree/master/official/cv/vit) | ✅ | | | -| Computer Vision (CV) | Object Detection | [CenterFace](https://gitee.com/mindspore/models/tree/master/official/cv/centerface) | ✅ | | | -| Computer Vision (CV) | Object Detection | [CTPN](https://gitee.com/mindspore/models/tree/master/official/cv/ctpn) | ✅ | | | -| Computer Vision (CV) | Object Detection | [Faster R-CNN](https://gitee.com/mindspore/models/tree/master/official/cv/faster_rcnn) | ✅ | ✅ | | -| Computer Vision (CV) | Object Detection | [Mask R-CNN](https://gitee.com/mindspore/models/tree/master/official/cv/maskrcnn) | ✅ | | | -| Computer Vision (CV) | Object Detection | [Mask R-CNN (MobileNetV1)](https://gitee.com/mindspore/models/tree/master/official/cv/maskrcnn_mobilenetv1) | ✅ | | | -| Computer Vision (CV) | Object Detection | [SSD](https://gitee.com/mindspore/models/tree/master/official/cv/ssd) | ✅ | ✅ | ✅ | -| Computer Vision (CV) | Object Detection | [SSD-MobileNetV1-FPN](https://gitee.com/mindspore/models/tree/master/official/cv/ssd) | ✅ | | | -| Computer Vision (CV) | Object Detection | [SSD-Resnet50-FPN](https://gitee.com/mindspore/models/tree/master/official/cv/ssd) | ✅ | | | -| Computer Vision (CV) | Object Detection | [SSD-VGG16](https://gitee.com/mindspore/models/tree/master/official/cv/ssd) | ✅ | | | -| Computer Vision (CV) | Object Detection | [WarpCTC](https://gitee.com/mindspore/models/tree/master/official/cv/warpctc) | ✅ | ✅ | | -| Computer Vision (CV) | Object Detection | [YOLOv3-ResNet18](https://gitee.com/mindspore/models/tree/master/official/cv/yolov3_resnet18) | ✅ | | | -| Computer Vision (CV) | Object Detection | [YOLOv3-DarkNet53](https://gitee.com/mindspore/models/tree/master/official/cv/yolov3_darknet53) | ✅ | ✅ | | -| Computer Vision (CV) | Object Detection | [YOLOv3-DarkNet53 (Quantization)](https://gitee.com/mindspore/models/tree/master/official/cv/yolov3_darknet53_quant) | ✅ | | | -| Computer Vision (CV) | Object Detection | [YOLOv4](https://gitee.com/mindspore/models/tree/master/official/cv/yolov4) | ✅ | | | -| Computer Vision (CV) | Object Detection |[YOLOv5](https://gitee.com/mindspore/models/tree/master/official/cv/yolov5) | ✅ | | | -| Computer Vision (CV) | Object Detection |[RetinaNet](https://gitee.com/mindspore/models/tree/master/official/cv/retinanet) | ✅ | | | -| Computer Vision (CV) | Text Detection | [DeepText](https://gitee.com/mindspore/models/tree/master/official/cv/deeptext) | ✅ | | | -| Computer Vision (CV) | Text Detection | [PSENet](https://gitee.com/mindspore/models/tree/master/official/cv/psenet) | ✅ | | | -| Computer Vision (CV) | Text Recognition | [CNN+CTC](https://gitee.com/mindspore/models/tree/master/official/cv/cnnctc) | ✅ | | | -| Computer Vision (CV) | Semantic Segmentation | [DeepLabV3](https://gitee.com/mindspore/models/tree/master/official/cv/deeplabv3) | ✅ | | ✅ | -| Computer Vision (CV) | Semantic Segmentation | [DeepLabV3+](https://gitee.com/mindspore/models/tree/master/official/cv/deeplabv3plus) | ✅ | | | -| Computer Vision (CV) | Semantic Segmentation | [U-Net2D (Medical)](https://gitee.com/mindspore/models/tree/master/official/cv/unet) | ✅ | | | -| Computer Vision (CV) | Semantic Segmentation | [U-Net3D (Medical)](https://gitee.com/mindspore/models/tree/master/official/cv/unet3d) | ✅ | | | -| Computer Vision (CV) | Semantic Segmentation | [U-Net++](https://gitee.com/mindspore/models/tree/master/official/cv/unet) | ✅ | | | -| Computer Vision (CV) | Semantic Segmentation | [Fast-SCNN](https://gitee.com/mindspore/models/tree/master/official/cv/fasterscnn) | ✅ | | | -| Computer Vision (CV) | Semantic Segmentation | [FCN8s](https://gitee.com/mindspore/models/tree/master/official/cv/FCN8s) | ✅ | | | -| Computer Vision (CV) | Keypoint Detection | [OpenPose](https://gitee.com/mindspore/models/tree/master/official/cv/openpose) | ✅ | | | -| Computer Vision (CV) | Keypoint Detection | [SimplePoseNet](https://gitee.com/mindspore/models/tree/master/official/cv/simple_pose) | ✅ | | | -| Computer Vision (CV) | Scene Text Detection | [East](https://gitee.com/mindspore/models/tree/master/official/cv/east) | ✅ | | | -| Computer Vision (CV) | Scene Text Detection | [PSENet](https://gitee.com/mindspore/models/tree/master/official/cv/psenet) | ✅ | | | -| Computer Vision (CV) | Scene Text Recognition | [CRNN](https://gitee.com/mindspore/models/tree/master/official/cv/crnn) | ✅ | | | -| Computer Vision (CV) | Scene Text Recognition |[CNN+CTC](https://gitee.com/mindspore/models/tree/master/official/cv/cnnctc) | ✅ | | | -| Computer Vision (CV) | Scene Text Recognition |[CRNN-Seq2Seq-OCR](https://gitee.com/mindspore/models/tree/master/official/cv/crnn_seq2seq_ocr) | ✅ | | | -| Computer Vision (CV) | Scene Text Recognition |[WarpCTC](https://gitee.com/mindspore/models/tree/master/official/cv/warpctc) | ✅ | | | -| Computer Vision (CV) | Defect Detection |[ssim-ae](https://gitee.com/mindspore/models/tree/master/official/cv/ssim-ae) | ✅ | | | -| Computer Vision (CV) | Face Detection | [RetinaFace-ResNet50](https://gitee.com/mindspore/models/tree/master/official/cv/retinaface_resnet50) | ✅ | ✅ | | -| Computer Vision (CV) | Face Detection | [CenterFace](https://gitee.com/mindspore/models/tree/master/official/cv/centerface) | ✅ | | | -| Computer Vision (CV) | Face Detection | [SphereFace](https://gitee.com/mindspore/models/tree/master/official/cv/sphereface) | ✅ | | | -| Computer Vision (CV) | Crowd Counting | [MCNN](https://gitee.com/mindspore/models/tree/master/official/cv/MCNN) | ✅ | | | -| Computer Vision (CV) | Depth Estimation | [DepthNet](https://gitee.com/mindspore/models/tree/master/official/cv/depthnet) | ✅ | | | -| Computer Vision (CV) | Camera Relocalization | [PoseNet](https://gitee.com/mindspore/models/tree/master/official/cv/posenet) | ✅ | | | -| Computer Vision (CV) | Image Matting | [Semantic Human Matting](https://gitee.com/mindspore/models/tree/master/official/cv/semantic_human_matting) | ✅ | | | -| Computer Vision (CV) | Video Classification | [C3D](https://gitee.com/mindspore/models/tree/master/official/cv/c3d) | ✅ | | | -| Computer Vision (CV) | Image Super-Resolution | [SRCNN](https://gitee.com/mindspore/models/tree/master/official/cv/srcnn) | ✅ | | | -| Computer Vision (CV) | Image Denoising | [BRDNet](https://gitee.com/mindspore/models/tree/master/official/cv/brdnet) | ✅ | | | -| Computer Vision (CV) | Image Denoising | [DnCNN](https://gitee.com/mindspore/models/tree/master/official/cv/dncnn) | ✅ | | | -| Computer Vision (CV) | Image Denoising | [Learning-to-See-in-the-Dark](https://gitee.com/mindspore/models/tree/master/official/cv/LearningToSeeInTheDark) | ✅ | | | -| Computer Vision (CV) | Image Quality Assessment | [NIMA](https://gitee.com/mindspore/models/tree/master/official/cv/nima) | ✅ | | | -| Natural Language Processing (NLP) | Natural Language Understanding | [BERT](https://gitee.com/mindspore/models/tree/master/official/nlp/bert) | ✅ | ✅ | | -| Natural Language Processing (NLP) | Natural Language Understanding | [FastText](https://gitee.com/mindspore/models/tree/master/official/nlp/fasttext) | ✅ | | | -| Natural Language Processing (NLP) | Natural Language Understanding | [GNMT v2](https://gitee.com/mindspore/models/tree/master/official/nlp/gnmt_v2) | ✅ | | | -| Natural Language Processing (NLP) | Natural Language Understanding | [GRU](https://gitee.com/mindspore/models/tree/master/official/nlp/gru) | ✅ | | | -| Natural Language Processing (NLP) | Natural Language Understanding | [MASS](https://gitee.com/mindspore/models/tree/master/official/nlp/mass) | ✅ | ✅ | | -| Natural Language Processing (NLP) | Natural Language Understanding | [SentimentNet](https://gitee.com/mindspore/models/tree/master/official/nlp/lstm) | ✅ | ✅ | ✅ | -| Natural Language Processing (NLP) | Natural Language Understanding | [Transformer](https://gitee.com/mindspore/models/tree/master/official/nlp/transformer) | ✅ | ✅ | | -| Natural Language Processing (NLP) | Natural Language Understanding | [TinyBERT](https://gitee.com/mindspore/models/tree/master/official/nlp/tinybert) | ✅ | ✅ | | -| Natural Language Processing (NLP) | Natural Language Understanding | [TextCNN](https://gitee.com/mindspore/models/tree/master/official/nlp/textcnn) | ✅ | | | -| Natural Language Processing (NLP) | Natural Language Understanding | [CPM](https://gitee.com/mindspore/models/tree/master/official/nlp/cpm) | ✅ | | | -| Natural Language Processing (NLP) | Natural Language Understanding | [ERNIE](https://gitee.com/mindspore/models/tree/master/official/nlp/ernie) | ✅ | | | -| Natural Language Processing (NLP) | Natural Language Understanding | [GPT-3](https://gitee.com/mindspore/models/tree/master/official/nlp/gpt) | ✅ | | | -| Natural Language Processing (NLP) | Emotion Classification | [EmoTect](https://gitee.com/mindspore/models/tree/master/official/nlp/emotect) | ✅ | | | -| Natural Language Processing (NLP) | Emotion Classification | [LSTM](https://gitee.com/mindspore/models/tree/master/official/nlp/lstm) | ✅ | | | -| Natural Language Processing (NLP) | Dialogue Generation | [DGU](https://gitee.com/mindspore/models/tree/master/official/nlp/dgu) | ✅ | | | -| Natural Language Processing (NLP) | Dialogue Generation | [DuConv](https://gitee.com/mindspore/models/tree/master/official/nlp/duconv) | ✅ | | | -| Recommender | Recommender System, CTR prediction | [DeepFM](https://gitee.com/mindspore/models/tree/master/official/recommend/deepfm) | ✅ | ✅ | ✅ | -| Recommender | Recommender System, Search, Ranking | [Wide&Deep](https://gitee.com/mindspore/models/tree/master/official/recommend/wide_and_deep) | ✅ | ✅ | | -| Recommender | Recommender System | [NAML](https://gitee.com/mindspore/models/tree/master/official/recommend/naml) | ✅ | | | -| Recommender | Recommender System | [NCF](https://gitee.com/mindspore/models/tree/master/official/recommend/ncf) | ✅ | | | -| Graph Neural Networks (GNN) | Text Classification | [GCN](https://gitee.com/mindspore/models/tree/master/official/gnn/gcn) | ✅ | | | -| Graph Neural Networks (GNN) | Text Classification | [GAT](https://gitee.com/mindspore/models/tree/master/official/gnn/gat) | ✅ | | | -| Graph Neural Networks (GNN) | Recommender System | [BGCF](https://gitee.com/mindspore/models/tree/master/official/gnn/bgcf) | ✅ | | | +| Audio | Speech Synthesis | [LPCNet](https://gitee.com/mindspore/models/tree/r1.6/official/audio/lpcnet) | ✅ | | | +| Audio | Speech Synthesis | [MelGAN](https://gitee.com/mindspore/models/tree/r1.6/official/audio/melgan) | ✅ | | | +| Audio | Speech Synthesis | [Tacotron2](https://gitee.com/mindspore/models/tree/r1.6/official/audio/tacotron2) | ✅ | | | +| Computer Vision (CV) | Point Cloud Model | [OctSqueeze](https://gitee.com/mindspore/models/tree/r1.6/official/cv/octsqueeze) | ✅ | | | +| Computer Vision (CV) | Optical Flow Estimation | [PWCNet](https://gitee.com/mindspore/models/tree/r1.6/official/cv/pwcnet) | ✅ | | | +| Computer Vision (CV) | Object Tracking | [Deepsort](https://gitee.com/mindspore/models/tree/r1.6/official/cv/Deepsort) | ✅ | | | +| Computer Vision (CV) | Object Tracking | [ADNet](https://gitee.com/mindspore/models/tree/r1.6/official/cv/ADNet) | ✅ | | | +|Computer Vision (CV) | Image Classification | [AlexNet](https://gitee.com/mindspore/models/tree/r1.6/official/cv/alexnet) | ✅ | ✅ | | +| Computer Vision (CV) | Image Classification | [CNN](https://gitee.com/mindspore/models/tree/r1.6/official/cv/cnn_direction_model) | ✅ | | | +| Computer Vision (CV) | Image Classification | [DenseNet100](https://gitee.com/mindspore/models/tree/r1.6/official/cv/densenet) | | | ✅ | +| Computer Vision (CV) | Image Classification | [DenseNet121](https://gitee.com/mindspore/models/tree/r1.6/official/cv/densenet) | ✅ | | | +| Computer Vision (CV) | Image Classification | [DPN](https://gitee.com/mindspore/models/tree/r1.6/official/cv/dpn) | ✅ | | | +| Computer Vision (CV) | Image Classification | [EfficientNet-B0](https://gitee.com/mindspore/models/tree/r1.6/official/cv/efficientnet) | | ✅ | | +| Computer Vision (CV) | Image Classification | [GoogLeNet](https://gitee.com/mindspore/models/tree/r1.6/official/cv/googlenet) | ✅ | ✅ | | +| Computer Vision (CV) | Image Classification | [InceptionV3](https://gitee.com/mindspore/models/tree/r1.6/official/cv/inceptionv3) | ✅ | | | +| Computer Vision (CV) | Image Classification | [InceptionV4](https://gitee.com/mindspore/models/tree/r1.6/official/cv/inceptionv4) | ✅ | | | +| Computer Vision (CV) | Image Classification | [LeNet](https://gitee.com/mindspore/models/tree/r1.6/official/cv/lenet) | ✅ | ✅ | ✅ | +| Computer Vision (CV) | Image Classification | [LeNet (Quantization)](https://gitee.com/mindspore/models/tree/r1.6/official/cv/lenet_quant) | ✅ | ✅ | | +| Computer Vision (CV) | Image Classification | [MobileNetV1](https://gitee.com/mindspore/models/tree/r1.6/official/cv/mobilenetv1) | ✅ | | | +| Computer Vision (CV) | Image Classification | [MobileNetV2](https://gitee.com/mindspore/models/tree/r1.6/official/cv/mobilenetv2) | ✅ | ✅ | ✅ | +| Computer Vision (CV) | Image Classification | [MobileNetV2 (Quantization)](https://gitee.com/mindspore/models/tree/r1.6/official/cv/mobilenetv2_quant) | ✅ | ✅ | | +| Computer Vision (CV) | Image Classification | [MobileNetV3](https://gitee.com/mindspore/models/tree/r1.6/official/cv/mobilenetv3) | | ✅ | | +| Computer Vision (CV) | Image Classification | [NASNet](https://gitee.com/mindspore/models/tree/r1.6/official/cv/nasnet) | ✅ | ✅ | | +| Computer Vision (CV) | Image Classification | [ResNet-18](https://gitee.com/mindspore/models/tree/r1.6/official/cv/resnet) | ✅ | | | +| Computer Vision (CV) | Image Classification | [ResNet-34](https://gitee.com/mindspore/models/tree/r1.6/official/cv/resnet) | ✅ | | | +| Computer Vision (CV) | Image Classification | [ResNet-50](https://gitee.com/mindspore/models/tree/r1.6/official/cv/resnet) | ✅ | ✅ | ✅ | +| Computer Vision (CV) | Image Classification | [ResNet-50 (Quantization)](https://gitee.com/mindspore/models/tree/r1.6/official/cv/resnet50_quant) | ✅ | | | +|Computer Vision (CV) | Image Classification | [ResNet-101](https://gitee.com/mindspore/models/tree/r1.6/official/cv/resnet) | ✅ | ✅ | | +|Computer Vision (CV) | Image Classification | [ResNet-152](https://gitee.com/mindspore/models/tree/r1.6/official/cv/resnet) | ✅ | | | +|Computer Vision (CV) | Image Classification | [ResNeXt50](https://gitee.com/mindspore/models/tree/r1.6/official/cv/resnext) | ✅ | ✅ | | +|Computer Vision (CV) | Image Classification | [ResNeXt101](https://gitee.com/mindspore/models/tree/r1.6/official/cv/resnext) | ✅ | | | +|Computer Vision (CV) | Image Classification | [SE-ResNet50](https://gitee.com/mindspore/models/tree/r1.6/official/cv/resnet) | ✅ | | | +| Computer Vision（CV） | Image Classification | [SE-ResNext50](https://gitee.com/mindspore/models/tree/r1.6/official/cv/se_resnext50) | ✅ | | | +| Computer Vision (CV) | Image Classification | [ShuffleNetV1](https://gitee.com/mindspore/models/tree/r1.6/official/cv/shufflenetv1) | ✅ | | | +| Computer Vision (CV) | Image Classification | [ShuffleNetV2](https://gitee.com/mindspore/models/tree/r1.6/official/cv/shufflenetv2) | | ✅ | | +| Computer Vision (CV) | Image Classification | [SqueezeNet](https://gitee.com/mindspore/models/tree/r1.6/official/cv/squeezenet) | ✅ | | | +| Computer Vision (CV) | Image Classification | [Tiny-DarkNet](https://gitee.com/mindspore/models/tree/r1.6/official/cv/tinydarknet) | ✅ | | | +| Computer Vision (CV) | Image Classification | [VGG16](https://gitee.com/mindspore/models/tree/r1.6/official/cv/vgg16) | ✅ | ✅ | | +| Computer Vision (CV) | Image Classification | [Xception](https://gitee.com/mindspore/models/tree/r1.6/official/cv/xception) | ✅ | | | +| Computer Vision (CV) | Image Classification | [CspDarkNet53](https://gitee.com/mindspore/models/tree/r1.6/official/cv/cspdarknet53) | ✅ | | | +| Computer Vision (CV) | Image Classification | [ErfNet](https://gitee.com/mindspore/models/tree/r1.6/official/cv/erfnet) | ✅ | | | +| Computer Vision (CV) | Image Classification | [SimCLR](https://gitee.com/mindspore/models/tree/r1.6/official/cv/simclr) | ✅ | | | +| Computer Vision (CV) | Image Classification | [Vit](https://gitee.com/mindspore/models/tree/r1.6/official/cv/vit) | ✅ | | | +| Computer Vision (CV) | Object Detection | [CenterFace](https://gitee.com/mindspore/models/tree/r1.6/official/cv/centerface) | ✅ | | | +| Computer Vision (CV) | Object Detection | [CTPN](https://gitee.com/mindspore/models/tree/r1.6/official/cv/ctpn) | ✅ | | | +| Computer Vision (CV) | Object Detection | [Faster R-CNN](https://gitee.com/mindspore/models/tree/r1.6/official/cv/faster_rcnn) | ✅ | ✅ | | +| Computer Vision (CV) | Object Detection | [Mask R-CNN](https://gitee.com/mindspore/models/tree/r1.6/official/cv/maskrcnn) | ✅ | | | +| Computer Vision (CV) | Object Detection | [Mask R-CNN (MobileNetV1)](https://gitee.com/mindspore/models/tree/r1.6/official/cv/maskrcnn_mobilenetv1) | ✅ | | | +| Computer Vision (CV) | Object Detection | [SSD](https://gitee.com/mindspore/models/tree/r1.6/official/cv/ssd) | ✅ | ✅ | ✅ | +| Computer Vision (CV) | Object Detection | [SSD-MobileNetV1-FPN](https://gitee.com/mindspore/models/tree/r1.6/official/cv/ssd) | ✅ | | | +| Computer Vision (CV) | Object Detection | [SSD-Resnet50-FPN](https://gitee.com/mindspore/models/tree/r1.6/official/cv/ssd) | ✅ | | | +| Computer Vision (CV) | Object Detection | [SSD-VGG16](https://gitee.com/mindspore/models/tree/r1.6/official/cv/ssd) | ✅ | | | +| Computer Vision (CV) | Object Detection | [WarpCTC](https://gitee.com/mindspore/models/tree/r1.6/official/cv/warpctc) | ✅ | ✅ | | +| Computer Vision (CV) | Object Detection | [YOLOv3-ResNet18](https://gitee.com/mindspore/models/tree/r1.6/official/cv/yolov3_resnet18) | ✅ | | | +| Computer Vision (CV) | Object Detection | [YOLOv3-DarkNet53](https://gitee.com/mindspore/models/tree/r1.6/official/cv/yolov3_darknet53) | ✅ | ✅ | | +| Computer Vision (CV) | Object Detection | [YOLOv3-DarkNet53 (Quantization)](https://gitee.com/mindspore/models/tree/r1.6/official/cv/yolov3_darknet53_quant) | ✅ | | | +| Computer Vision (CV) | Object Detection | [YOLOv4](https://gitee.com/mindspore/models/tree/r1.6/official/cv/yolov4) | ✅ | | | +| Computer Vision (CV) | Object Detection |[YOLOv5](https://gitee.com/mindspore/models/tree/r1.6/official/cv/yolov5) | ✅ | | | +| Computer Vision (CV) | Object Detection |[RetinaNet](https://gitee.com/mindspore/models/tree/r1.6/official/cv/retinanet) | ✅ | | | +| Computer Vision (CV) | Text Detection | [DeepText](https://gitee.com/mindspore/models/tree/r1.6/official/cv/deeptext) | ✅ | | | +| Computer Vision (CV) | Text Detection | [PSENet](https://gitee.com/mindspore/models/tree/r1.6/official/cv/psenet) | ✅ | | | +| Computer Vision (CV) | Text Recognition | [CNN+CTC](https://gitee.com/mindspore/models/tree/r1.6/official/cv/cnnctc) | ✅ | | | +| Computer Vision (CV) | Semantic Segmentation | [DeepLabV3](https://gitee.com/mindspore/models/tree/r1.6/official/cv/deeplabv3) | ✅ | | ✅ | +| Computer Vision (CV) | Semantic Segmentation | [DeepLabV3+](https://gitee.com/mindspore/models/tree/r1.6/official/cv/deeplabv3plus) | ✅ | | | +| Computer Vision (CV) | Semantic Segmentation | [U-Net2D (Medical)](https://gitee.com/mindspore/models/tree/r1.6/official/cv/unet) | ✅ | | | +| Computer Vision (CV) | Semantic Segmentation | [U-Net3D (Medical)](https://gitee.com/mindspore/models/tree/r1.6/official/cv/unet3d) | ✅ | | | +| Computer Vision (CV) | Semantic Segmentation | [U-Net++](https://gitee.com/mindspore/models/tree/r1.6/official/cv/unet) | ✅ | | | +| Computer Vision (CV) | Semantic Segmentation | [Fast-SCNN](https://gitee.com/mindspore/models/tree/r1.6/official/cv/fastscnn) | ✅ | | | +| Computer Vision (CV) | Semantic Segmentation | [FCN8s](https://gitee.com/mindspore/models/tree/r1.6/official/cv/FCN8s) | ✅ | | | +| Computer Vision (CV) | 6DoF Pose Estimation | [PVNet](https://gitee.com/mindspore/models/tree/r1.6/official/cv/pvnet) | ✅ | | | +| Computer Vision (CV) | Keypoint Detection | [OpenPose](https://gitee.com/mindspore/models/tree/r1.6/official/cv/openpose) | ✅ | | | +| Computer Vision (CV) | Keypoint Detection | [SimplePoseNet](https://gitee.com/mindspore/models/tree/r1.6/official/cv/simple_pose) | ✅ | | | +| Computer Vision (CV) | Scene Text Detection | [East](https://gitee.com/mindspore/models/tree/r1.6/official/cv/east) | ✅ | | | +| Computer Vision (CV) | Scene Text Detection | [PSENet](https://gitee.com/mindspore/models/tree/r1.6/official/cv/psenet) | ✅ | | | +| Computer Vision (CV) | Scene Text Recognition | [CRNN](https://gitee.com/mindspore/models/tree/r1.6/official/cv/crnn) | ✅ | | | +| Computer Vision (CV) | Scene Text Recognition |[CNN+CTC](https://gitee.com/mindspore/models/tree/r1.6/official/cv/cnnctc) | ✅ | | | +| Computer Vision (CV) | Scene Text Recognition |[CRNN-Seq2Seq-OCR](https://gitee.com/mindspore/models/tree/r1.6/official/cv/crnn_seq2seq_ocr) | ✅ | | | +| Computer Vision (CV) | Scene Text Recognition |[WarpCTC](https://gitee.com/mindspore/models/tree/r1.6/official/cv/warpctc) | ✅ | | | +| Computer Vision (CV) | Defect Detection |[ssim-ae](https://gitee.com/mindspore/models/tree/r1.6/official/cv/ssim-ae) | ✅ | | | +| Computer Vision (CV) | Defect Detection |[PatchCore](https://gitee.com/mindspore/models/tree/r1.6/official/cv/patchcore) | ✅ | | | +| Computer Vision (CV) | Face Detection | [RetinaFace-ResNet50](https://gitee.com/mindspore/models/tree/r1.6/official/cv/retinaface_resnet50) | ✅ | ✅ | | +| Computer Vision (CV) | Face Detection | [CenterFace](https://gitee.com/mindspore/models/tree/r1.6/official/cv/centerface) | ✅ | | | +| Computer Vision (CV) | Face Detection | [SphereFace](https://gitee.com/mindspore/models/tree/r1.6/official/cv/sphereface) | ✅ | | | +| Computer Vision (CV) | Crowd Counting | [MCNN](https://gitee.com/mindspore/models/tree/r1.6/official/cv/MCNN) | ✅ | | | +| Computer Vision (CV) | Depth Estimation | [DepthNet](https://gitee.com/mindspore/models/tree/r1.6/official/cv/depthnet) | ✅ | | | +| Computer Vision (CV) | Camera Relocalization | [PoseNet](https://gitee.com/mindspore/models/tree/r1.6/official/cv/posenet) | ✅ | | | +| Computer Vision (CV) | Image Matting | [Semantic Human Matting](https://gitee.com/mindspore/models/tree/r1.6/official/cv/semantic_human_matting) | ✅ | | | +| Computer Vision (CV) | Video Classification | [C3D](https://gitee.com/mindspore/models/tree/r1.6/official/cv/c3d) | ✅ | | | +| Computer Vision (CV) | Image Super-Resolution | [SRCNN](https://gitee.com/mindspore/models/tree/r1.6/official/cv/srcnn) | ✅ | | | +| Computer Vision (CV) | Image Super-Resolution |[RDN](https://gitee.com/mindspore/models/tree/r1.6/official/cv/RDN) | ✅ | ✅ | | +| Computer Vision (CV) | Image Denoising | [BRDNet](https://gitee.com/mindspore/models/tree/r1.6/official/cv/brdnet) | ✅ | | | +| Computer Vision (CV) | Image Denoising | [DnCNN](https://gitee.com/mindspore/models/tree/r1.6/official/cv/dncnn) | ✅ | | | +| Computer Vision (CV) | Image Denoising | [Learning-to-See-in-the-Dark](https://gitee.com/mindspore/models/tree/r1.6/official/cv/LearningToSeeInTheDark) | ✅ | | | +| Computer Vision (CV) | Image Quality Assessment | [NIMA](https://gitee.com/mindspore/models/tree/r1.6/official/cv/nima) | ✅ | | | +| Natural Language Processing (NLP) | Natural Language Understanding | [BERT](https://gitee.com/mindspore/models/tree/r1.6/official/nlp/bert) | ✅ | ✅ | | +| Natural Language Processing (NLP) | Natural Language Understanding | [FastText](https://gitee.com/mindspore/models/tree/r1.6/official/nlp/fasttext) | ✅ | | | +| Natural Language Processing (NLP) | Natural Language Understanding | [GNMT v2](https://gitee.com/mindspore/models/tree/r1.6/official/nlp/gnmt_v2) | ✅ | | | +| Natural Language Processing (NLP) | Natural Language Understanding | [GRU](https://gitee.com/mindspore/models/tree/r1.6/official/nlp/gru) | ✅ | | | +| Natural Language Processing (NLP) | Natural Language Understanding | [MASS](https://gitee.com/mindspore/models/tree/r1.6/official/nlp/mass) | ✅ | ✅ | | +| Natural Language Processing (NLP) | Natural Language Understanding | [SentimentNet](https://gitee.com/mindspore/models/tree/r1.6/official/nlp/lstm) | ✅ | ✅ | ✅ | +| Natural Language Processing (NLP) | Natural Language Understanding | [Transformer](https://gitee.com/mindspore/models/tree/r1.6/official/nlp/transformer) | ✅ | ✅ | | +| Natural Language Processing (NLP) | Natural Language Understanding | [TinyBERT](https://gitee.com/mindspore/models/tree/r1.6/official/nlp/tinybert) | ✅ | ✅ | | +| Natural Language Processing (NLP) | Natural Language Understanding | [TextCNN](https://gitee.com/mindspore/models/tree/r1.6/official/nlp/textcnn) | ✅ | | | +| Natural Language Processing (NLP) | Natural Language Understanding | [CPM](https://gitee.com/mindspore/models/tree/r1.6/official/nlp/cpm) | ✅ | | | +| Natural Language Processing (NLP) | Natural Language Understanding | [ERNIE](https://gitee.com/mindspore/models/tree/r1.6/official/nlp/ernie) | ✅ | | | +| Natural Language Processing (NLP) | Natural Language Understanding | [GPT-3](https://gitee.com/mindspore/models/tree/r1.6/official/nlp/gpt) | ✅ | | | +| Natural Language Processing (NLP) | Emotion Classification | [EmoTect](https://gitee.com/mindspore/models/tree/r1.6/official/nlp/emotect) | ✅ | | | +| Natural Language Processing (NLP) | Emotion Classification | [LSTM](https://gitee.com/mindspore/models/tree/r1.6/official/nlp/lstm) | ✅ | | | +| Natural Language Processing (NLP) | Dialogue Generation | [DGU](https://gitee.com/mindspore/models/tree/r1.6/official/nlp/dgu) | ✅ | | | +| Natural Language Processing (NLP) | Dialogue Generation | [DuConv](https://gitee.com/mindspore/models/tree/r1.6/official/nlp/duconv) | ✅ | | | +| Recommender | Recommender System, CTR prediction | [DeepFM](https://gitee.com/mindspore/models/tree/r1.6/official/recommend/deepfm) | ✅ | ✅ | ✅ | +| Recommender | Recommender System, Search, Ranking | [Wide&Deep](https://gitee.com/mindspore/models/tree/r1.6/official/recommend/wide_and_deep) | ✅ | ✅ | | +| Recommender | Recommender System | [NAML](https://gitee.com/mindspore/models/tree/r1.6/official/recommend/naml) | ✅ | | | +| Recommender | Recommender System | [NCF](https://gitee.com/mindspore/models/tree/r1.6/official/recommend/ncf) | ✅ | | | +| Graph Neural Networks (GNN) | Text Classification | [GCN](https://gitee.com/mindspore/models/tree/r1.6/official/gnn/gcn) | ✅ | | | +| Graph Neural Networks (GNN) | Text Classification | [GAT](https://gitee.com/mindspore/models/tree/r1.6/official/gnn/gat) | ✅ | | | +| Graph Neural Networks (GNN) | Recommender System | [BGCF](https://gitee.com/mindspore/models/tree/r1.6/official/gnn/bgcf) | ✅ | | | ### Research | Domain | Sub Domain | Network | Ascend | GPU | CPU | |:------ |:------| :----------- |:------: |:------: |:-----: | -| Computer Vision (CV) | Image Classification |[3D Densenet](https://gitee.com/mindspore/models/tree/master/research/cv/3D_DenseNet) | ✅ | | | -| Computer Vision (CV) | Image Classification |[Auto Augment](https://gitee.com/mindspore/models/tree/master/research/cv/autoaugment) | ✅ | | | -| Computer Vision (CV) | Image Classification |[AVA](https://gitee.com/mindspore/models/tree/master/research/cv/AVA_cifar) | ✅ | | | -| Computer Vision (CV) | Image Classification |[CCT](https://gitee.com/mindspore/models/tree/master/research/cv/CCT) | ✅ | | | -| Computer Vision (CV) | Image Classification |[dnet-nas](https://gitee.com/mindspore/models/tree/master/research/cv/dnet_nas) | ✅ | | | -| Computer Vision (CV) | Image Classification |[Efficientnet-b0](https://gitee.com/mindspore/models/tree/master/research/cv/efficient-b0) | ✅ | | | -| Computer Vision (CV) | Image Classification |[Efficientnet-b1](https://gitee.com/mindspore/models/tree/master/research/cv/efficient-b1) | ✅ | | | -| Computer Vision (CV) | Image Classification |[Efficientnet-b2](https://gitee.com/mindspore/models/tree/master/research/cv/efficient-b2) | ✅ | | | -| Computer Vision (CV) | Image Classification |[Efficientnet-b3](https://gitee.com/mindspore/models/tree/master/research/cv/efficient-b3) | ✅ | | | -| Computer Vision (CV) | Image Classification |[FDA-BNN](https://gitee.com/mindspore/models/tree/master/research/cv/FDA-BNN) | ✅ | | | -| Computer Vision (CV) | Image Classification |[fishnet99](https://gitee.com/mindspore/models/tree/master/research/cv/fishnet99) | ✅ | | | -| Computer Vision (CV) | Image Classification |[GENET](https://gitee.com/mindspore/models/tree/master/research/cv/GENet_Res50) | ✅ | | | -| Computer Vision (CV) | Image Classification |[GhostNet](https://gitee.com/mindspore/models/tree/master/research/cv/ghostnet) | ✅ | | | -| Computer Vision (CV) | Image Classification |[Glore_res200](https://gitee.com/mindspore/models/tree/master/research/cv/glore_res200) | ✅ | | | -| Computer Vision (CV) | Image Classification |[Glore_res50](https://gitee.com/mindspore/models/tree/master/research/cv/glore_res50) | ✅ | | | -| Computer Vision (CV) | Image Classification |[HarDNet](https://gitee.com/mindspore/models/tree/master/research/cv/hardnet) | ✅ | | | -| Computer Vision (CV) | Image Classification |[HourNAS](https://gitee.com/mindspore/models/tree/master/research/cv/HourNAS) | ✅ | | | -| Computer Vision (CV) | Image Classification |[HRNetW48-cls](https://gitee.com/mindspore/models/tree/master/research/cv/HRNetW48_cls) | ✅ | | | -| Computer Vision (CV) | Image Classification |[ibn-net](https://gitee.com/mindspore/models/tree/master/research/cv/ibnnet) | ✅ | | | -| Computer Vision (CV) | Image Classification |[Inception ResNet V2](https://gitee.com/mindspore/models/tree/master/research/cv/inception_resnet_v2) | ✅ | | | -| Computer Vision (CV) | Image Classification |[Resnetv2_50_frn](https://gitee.com/mindspore/models/tree/master/research/cv/resnetv2_50_frn) | ✅ | | | -| Computer Vision (CV) | Image Classification |[META-Baseline](https://gitee.com/mindspore/models/tree/master/research/cv/meta-baseline) | ✅ | | | -| Computer Vision (CV) | Image Classification |[MNasNet](https://gitee.com/mindspore/models/tree/master/research/cv/mnasnet) | ✅ | | | -| Computer Vision (CV) | Image Classification |[MobilenetV3-Large](https://gitee.com/mindspore/models/tree/master/research/cv/mobilenetv3_large) | ✅ | | | -| Computer Vision (CV) | Image Classification |[MobilenetV3-Small](https://gitee.com/mindspore/models/tree/master/research/cv/mobilenetv3_small_x1_0) | ✅ | | | -| Computer Vision (CV) | Image Classification |[NFNet-F0](https://gitee.com/mindspore/models/tree/master/research/cv/NFNet) | ✅ | | | -| Computer Vision (CV) | Image Classification |[ntsnet](https://gitee.com/mindspore/models/tree/master/research/cv/ntsnet) | ✅ | | | -| Computer Vision (CV) | Image Classification |[Pdarts](https://gitee.com/mindspore/models/tree/master/research/cv/Pdarts) | ✅ | | | -| Computer Vision (CV) | Image Classification |[PNASNet-5](https://gitee.com/mindspore/models/tree/master/research/cv/pnasnet) | ✅ | | | -| Computer Vision (CV) | Image Classification |[ProtoNet](https://gitee.com/mindspore/models/tree/master/research/cv/ProtoNet) | ✅ | | | -| Computer Vision (CV) | Image Classification |[Proxylessnas](https://gitee.com/mindspore/models/tree/master/research/cv/proxylessnas) | ✅ | | | -| Computer Vision (CV) | Image Classification |[RelationNet](https://gitee.com/mindspore/models/tree/master/research/cv/relationnet) | ✅ | | | -| Computer Vision (CV) | Image Classification |[renas](https://gitee.com/mindspore/models/tree/master/research/cv/renas) | ✅ | | | -| Computer Vision (CV) | Image Classification |[Res2net](https://gitee.com/mindspore/models/tree/master/research/cv/res2net) | ✅ | | | -| Computer Vision (CV) | Image Classification |[ResNeSt-50](https://gitee.com/mindspore/models/tree/master/research/cv/ResNeSt50) | ✅ | | | -| Computer Vision (CV) | Image Classification |[ResNet50-BAM](https://gitee.com/mindspore/models/tree/master/research/cv/resnet50_bam) | ✅ | | | -| Computer Vision (CV) | Image Classification |[ResNet50-quadruplet](https://gitee.com/mindspore/models/tree/master/research/cv/metric_learn) | ✅ | | | -| Computer Vision (CV) | Image Classification |[ResNet50-triplet](https://gitee.com/mindspore/models/tree/master/research/cv/metric_learn) | ✅ | | | -| Computer Vision (CV) | Image Classification |[ResNetV2](https://gitee.com/mindspore/models/tree/master/research/cv/metric_learn) | ✅ | | | -| Computer Vision (CV) | Image Classification |[ResNeXt152_vd_64x4d](https://gitee.com/mindspore/models/tree/master/research/cv/resnext152_64x4d) | ✅ | | | -| Computer Vision (CV) | Image Classification |[SE-Net](https://gitee.com/mindspore/models/tree/master/research/cv/SE-Net) | ✅ | | | -| Computer Vision (CV) | Image Classification |[SERes2Net50](https://gitee.com/mindspore/models/tree/master/research/cv/res2net) | ✅ | | | -| Computer Vision (CV) | Image Classification |[SinglePathNas](https://gitee.com/mindspore/models/tree/master/research/cv/single_path_nas) | ✅ | | | -| Computer Vision (CV) | Image Classification |[SKNet-50](https://gitee.com/mindspore/models/tree/master/research/cv/sknet) | ✅ | | | -| Computer Vision (CV) | Image Classification |[SPPNet](https://gitee.com/mindspore/models/tree/master/research/cv/SPPNet) | ✅ | | | -| Computer Vision (CV) | Image Classification |[SqueezeNet](https://gitee.com/mindspore/models/tree/master/research/cv/squeezenet) | ✅ | | | -| Computer Vision (CV) | Image Classification |[SqueezeNet1_1](https://gitee.com/mindspore/models/tree/master/research/cv/squeezenet) | ✅ | | | -| Computer Vision (CV) | Image Classification |[Swin Transformer](https://gitee.com/mindspore/models/tree/master/research/cv/swin_transformer) | ✅ | | | -| Computer Vision (CV) | Image Classification |[TNT](https://gitee.com/mindspore/models/tree/master/research/cv/TNT) | ✅ | | | -| Computer Vision (CV) | Image Classification |[VGG19](https://gitee.com/mindspore/models/tree/master/research/cv/vgg19) | ✅ | | | -| Computer Vision (CV) | Image Classification |[Vit-Base](https://gitee.com/mindspore/models/tree/master/research/cv/vit_base) | ✅ | | | -| Computer Vision (CV) | Image Classification |[Wide ResNet](https://gitee.com/mindspore/models/tree/master/research/cv/wideresnet) | ✅ | | | -| Computer Vision (CV) | Image Classification | [FaceAttributes](https://gitee.com/mindspore/models/tree/master/research/cv/FaceAttribute) | ✅ | | | -| Computer Vision (CV) | Image Classification | [FaceQualityAssessment](https://gitee.com/mindspore/models/tree/master/research/cv/FaceQualityAssessment) | ✅ | | | -| Computer Vision (CV) | Re-Identification |[Aligned-ReID](https://gitee.com/mindspore/models/tree/master/research/cv/AlignedReID) | ✅ | | | -| Computer Vision (CV) | Re-Identification |[DDAG](https://gitee.com/mindspore/models/tree/master/research/cv/DDAG) | ✅ | | | -| Computer Vision (CV) | Re-Identification |[MVD](https://gitee.com/mindspore/models/tree/master/research/cv/MVD) | ✅ | | | -| Computer Vision (CV) | Re-Identification |[OSNet](https://gitee.com/mindspore/models/tree/master/research/cv/osnet) | ✅ | | | -| Computer Vision (CV) | Re-Identification |[PAMTRI](https://gitee.com/mindspore/models/tree/master/research/cv/PAMTRI) | ✅ | | | -| Computer Vision (CV) | Re-Identification |[VehicleNet](https://gitee.com/mindspore/models/tree/master/research/cv/VehicleNet) | ✅ | | | -| Computer Vision (CV) | Face Detection | [FaceDetection](https://gitee.com/mindspore/models/tree/master/research/cv/FaceDetection) | ✅ | | | -| Computer Vision (CV) | Face Detection | [FaceBoxes](https://gitee.com/mindspore/models/tree/master/research/cv/faceboxes) | ✅ | | | -| Computer Vision (CV) | Face Detection | [RetinaFace](https://gitee.com/mindspore/models/tree/master/research/cv/retinaface) | ✅ | | | -| Computer Vision (CV) | Face Recognition | [Arcface](https://gitee.com/mindspore/models/tree/master/research/cv/arcface) | ✅ | | | -| Computer Vision (CV) | Face Recognition | [DeepID](https://gitee.com/mindspore/models/tree/master/research/cv/DeepID) | ✅ | | | -| Computer Vision (CV) | Face Recognition |[FaceRecognition](https://gitee.com/mindspore/models/tree/master/research/cv/FaceRecognition) | ✅ | | | -| Computer Vision (CV) | Face Recognition |[FaceRecognitionForTracking](https://gitee.com/mindspore/models/tree/master/research/cv/FaceRecognitionForTracking) | ✅ | | | -| Computer Vision (CV) | Face Recognition | [LightCNN](https://gitee.com/mindspore/models/tree/master/research/cv/LightCNN) | ✅ | | | -| Computer Vision (CV) | Object Detection | [Spnas](https://gitee.com/mindspore/models/tree/master/research/cv/Spnas) | ✅ | | | -| Computer Vision (CV) | Object Detection | [SSD-GhostNet](https://gitee.com/mindspore/models/tree/master/research/cv/ssd_ghostnet) | ✅ | | | -| Computer Vision (CV） | Object Detection | [EGNet](https://gitee.com/mindspore/models/tree/master/research/cv/EGNet) | ✅ | | | -| Computer Vision (CV) | Object Detection | [FasterRCNN-FPN-DCN](https://gitee.com/mindspore/models/tree/master/research/cv/faster_rcnn_dcn) | ✅ | | | -| Computer Vision (CV) | Object Detection | [NAS-FPN](https://gitee.com/mindspore/models/tree/master/research/cv/nas-fpn) | ✅ | | | -| Computer Vision (CV) | Object Detection | [RAS](https://gitee.com/mindspore/models/tree/master/research/cv/ras) | ✅ | | | -| Computer Vision (CV) | Object Detection | [r-cnn](https://gitee.com/mindspore/models/tree/master/research/cv/rcnn) | ✅ | | | -| Computer Vision (CV) | Object Detection | [RefineDet](https://gitee.com/mindspore/models/tree/master/research/cv/RefineDet) | ✅ | | | -| Computer Vision (CV) | Object Detection | [Res2net_fasterrcnn](https://gitee.com/mindspore/models/tree/master/research/cv/res2net_faster_rcnn) | ✅ | | | -| Computer Vision (CV) | Object Detection | [Res2net_yolov3](https://gitee.com/mindspore/models/tree/master/research/cv/res2net_yolov3) | ✅ | | | -| Computer Vision (CV) | Object Detection | [Retinanet_resnet101](https://gitee.com/mindspore/models/tree/master/research/cv/retinanet_resnet101) | ✅ | | | -| Computer Vision (CV) | Object Detection | [Retinanet_resnet152](https://gitee.com/mindspore/models/tree/master/research/cv/retinanet_resnet152) | ✅ | | | -| Computer Vision (CV) | Object Detection | [SSD_MobilenetV2_fpnlite](https://gitee.com/mindspore/models/tree/master/research/cv/ssd_mobilenetV2_FPNlite) | ✅ | | | -| Computer Vision (CV) | Object Detection | [ssd_mobilenet_v2](https://gitee.com/mindspore/models/tree/master/research/cv/ssd_mobilenetV2) | ✅ | | | -| Computer Vision (CV) | Object Detection | [ssd_resnet50](https://gitee.com/mindspore/models/tree/master/research/cv/ssd_resnet50) | ✅ | | | -| Computer Vision (CV) | Object Detection | [ssd_inceptionv2](https://gitee.com/mindspore/models/tree/master/research/cv/ssd_inception_v2) | ✅ | | | -| Computer Vision (CV) | Object Detection | [ssd_resnet34](https://gitee.com/mindspore/models/tree/master/research/cv/ssd_resnet34) | ✅ | | | -| Computer Vision (CV) | Object Detection | [U-2-Net](https://gitee.com/mindspore/models/tree/master/research/cv/u2net) | ✅ | | | -| Computer Vision (CV) | Object Detection | [YOLOV3-tiny](https://gitee.com/mindspore/models/tree/master/research/cv/yolov3_tiny) | ✅ | | | -| Computer Vision (CV) | Object Tracking |[SiamFC](https://gitee.com/mindspore/models/tree/master/research/cv/SiamFC) | ✅ | | | -| Computer Vision (CV) | Object Tracking |[SiamRPN](https://gitee.com/mindspore/models/tree/master/research/cv/SiamRPN) | ✅ | | | -| Computer Vision (CV) | Object Tracking |[FairMOT](https://gitee.com/mindspore/models/tree/master/research/cv/fairmot) | ✅ | | | -| Computer Vision (CV) | Defect Detection |[PathCore](https://gitee.com/mindspore/models/tree/master/research/cv/PathCore) | ✅ | | | -| Computer Vision (CV) | Key Point Detection | [CenterNet](https://gitee.com/mindspore/models/tree/master/research/cv/centernet) | ✅ | | ✅ | -| Computer Vision (CV) | Key Point Detection | [CenterNet-hourglass](https://gitee.com/mindspore/models/tree/master/research/cv/centernet_det) | ✅ | | | -| Computer Vision (CV) | Key Point Detection | [CenterNet-resnet101](https://gitee.com/mindspore/models/tree/master/research/cv/centernet_resnet101) | ✅ | | | -| Computer Vision (CV) | Key Point Detection | [CenterNet-resnet50](https://gitee.com/mindspore/models/tree/master/research/cv/centernet_resnet50_v1) | ✅ | | | -| Computer Vision (CV) | Point Cloud Model |[PointNet](https://gitee.com/mindspore/models/tree/master/research/cv/pointnet) | ✅ | | | -| Computer Vision (CV) | Point Cloud Model |[PointNet++](https://gitee.com/mindspore/models/tree/master/research/cv/pointnet2) | ✅ | | | -| Computer Vision (CV) | Depth Estimation | [midas](https://gitee.com/mindspore/models/tree/master/research/cv/midas) | ✅ | | | -| Computer Vision (CV) | Sequential Image Classification | [TCN](https://gitee.com/mindspore/models/tree/master/research/cv/TCN) | ✅ | | | -| Computer Vision (CV) | Temporal Localization | [TALL](https://gitee.com/mindspore/models/tree/master/research/cv/tall) | ✅ | | | -| Computer Vision (CV) | Image Matting | [FCA-net](https://gitee.com/mindspore/models/tree/master/research/cv/FCANet) | ✅ | | | -| Computer Vision (CV) | Video Classification | [Attention Cluster](https://gitee.com/mindspore/models/tree/master/research/cv/AttentionCluster) | ✅ | | | -| Computer Vision (CV) | Video Classification | [ECO-lite](https://gitee.com/mindspore/models/tree/master/research/cv/ecolite) | ✅ | | | -| Computer Vision (CV) | Video Classification | [R(2+1)D](https://gitee.com/mindspore/models/tree/master/research/cv/r2plus1d) | ✅ | | | -| Computer Vision (CV) | Video Classification | [Resnet-3D](https://gitee.com/mindspore/models/tree/master/research/cv/resnet3d) | ✅ | | | -| Computer Vision (CV) | Video Classification | [StNet](https://gitee.com/mindspore/models/tree/master/research/cv/stnet) | ✅ | | | -| Computer Vision (CV) | Video Classification | [TSM](https://gitee.com/mindspore/models/tree/master/research/cv/tsm) | ✅ | | | -| Computer Vision (CV) | Video Classification | [TSN](https://gitee.com/mindspore/models/tree/master/research/cv/tsn) | ✅ | | | -| Computer Vision (CV) | Zero-Shot Learnning | [DEM](https://gitee.com/mindspore/models/tree/master/research/cv/dem) | ✅ | | | -| Computer Vision (CV) | Style Transfer |[AECRNET](https://gitee.com/mindspore/models/tree/master/research/cv/aecrnet) | ✅ | | | -| Computer Vision (CV) | Style Transfer |[APDrawingGAN](https://gitee.com/mindspore/models/tree/master/research/cv/APDrawingGAN) | ✅ | | | -| Computer Vision (CV) | Style Transfer |[Arbitrary-image-stylization](https://gitee.com/mindspore/models/tree/master/research/cv/ArbitraryStyleTransfer) | ✅ | | | -| Computer Vision (CV) | Style Transfer |[AttGAN](https://gitee.com/mindspore/models/tree/master/research/cv/AttGAN) | ✅ | | | -| Computer Vision (CV) | Style Transfer |[CycleGAN](https://gitee.com/mindspore/models/tree/master/research/cv/CycleGAN) | ✅ | | | -| Computer Vision (CV) | Image Super-Resolution |[CSD](https://gitee.com/mindspore/models/tree/master/research/cv/csd) | ✅ | | | -| Computer Vision (CV) | Image Super-Resolution |[DBPN](https://gitee.com/mindspore/models/tree/master/research/cv/DBPN) | ✅ | | | -| Computer Vision (CV) | Image Super-Resolution |[EDSR](https://gitee.com/mindspore/models/tree/master/research/cv/EDSR) | ✅ | | | -| Computer Vision (CV) | Image Super-Resolution |[esr-ea](https://gitee.com/mindspore/models/tree/master/research/cv/esr-ea) | ✅ | | | -| Computer Vision (CV) | Image Super-Resolution |[ESRGAN](https://gitee.com/mindspore/models/tree/master/research/cv/ESRGAN) | ✅ | | | -| Computer Vision (CV) | Image Super-Resolution |[IRN](https://gitee.com/mindspore/models/tree/master/research/cv/IRN) | ✅ | | | -| Computer Vision (CV) | Image Super-Resolution |[RCAN](https://gitee.com/mindspore/models/tree/master/research/cv/RCAN) | ✅ | | | -| Computer Vision (CV) | Image Super-Resolution |[RDN](https://gitee.com/mindspore/models/tree/master/research/cv/RDN) | ✅ | | | -| Computer Vision (CV) | Image Super-Resolution |[sr-ea](https://gitee.com/mindspore/models/tree/master/research/cv/sr-ea) | ✅ | | | -| Computer Vision (CV) | Image Super-Resolution |[SRGAN](https://gitee.com/mindspore/models/tree/master/research/cv/SRGAN) | ✅ | | | -| Computer Vision (CV) | Image Super-Resolution |[wdsr](https://gitee.com/mindspore/models/tree/master/research/cv/wdsr) | ✅ | | | -| Computer Vision (CV) | Image Denoising |[Neighbor2Neighbor](https://gitee.com/mindspore/models/tree/master/research/cv/Neighbor2Neighbor) | ✅ | | | -| Computer Vision (CV) | Image Generation |[CGAN](https://gitee.com/mindspore/models/tree/master/research/cv/CGAN) | ✅ | | | -| Computer Vision (CV) | Image Generation |[DCGAN](https://gitee.com/mindspore/models/tree/master/research/cv/dcgan) | ✅ | | | -| Computer Vision (CV) | Image Generation |[GAN](https://gitee.com/mindspore/models/tree/master/research/cv/gan) | ✅ | | | -| Computer Vision (CV) | Image Generation |[IPT](https://gitee.com/mindspore/models/tree/master/research/cv/IPT) | ✅ | | | -| Computer Vision (CV) | Image Generation |[pgan](https://gitee.com/mindspore/models/tree/master/research/cv/PGAN) | ✅ | | | -| Computer Vision (CV) | Image Generation |[Photo2Cartoon](https://gitee.com/mindspore/models/tree/master/research/cv/U-GAT-IT) | ✅ | | | -| Computer Vision (CV) | Image Generation |[Pix2Pix](https://gitee.com/mindspore/models/tree/master/research/cv/Pix2Pix) | ✅ | | | -| Computer Vision (CV) | Image Generation |[SinGAN](https://gitee.com/mindspore/models/tree/master/research/cv/SinGAN) | ✅ | | | -| Computer Vision (CV) | Image Generation |[StarGAN](https://gitee.com/mindspore/models/tree/master/research/cv/StarGAN) | ✅ | | | -| Computer Vision (CV) | Image Generation |[STGAN](https://gitee.com/mindspore/models/tree/master/research/cv/STGAN) | ✅ | | | -| Computer Vision (CV) | Image Generation |[WGAN](https://gitee.com/mindspore/models/tree/master/research/cv/wgan) | ✅ | | | -| Computer Vision (CV) | Scene Text Detection | [AdvancedEast](https://gitee.com/mindspore/models/tree/master/research/cv/advanced_east) | ✅ | | | -| Computer Vision (CV) | Scene Text Detection | [TextFuseNet](https://gitee.com/mindspore/models/tree/master/research/cv/textfusenet) | ✅ | | | -| Computer Vision (CV) | Scene Text Recognition | [ManiDP](https://gitee.com/mindspore/models/tree/master/research/cv/ManiDP) | ✅ | | | -| Computer Vision (CV) | Semantic Segmentation | [3d-cnn](https://gitee.com/mindspore/models/tree/master/research/cv/3dcnn) | ✅ | | | -| Computer Vision (CV) | Semantic Segmentation | [adelaide_ea](https://gitee.com/mindspore/models/tree/master/research/cv/adelaide_ea) | ✅ | | | -| Computer Vision (CV) | Semantic Segmentation | [DDRNet](https://gitee.com/mindspore/models/tree/master/research/cv/DDRNet) | ✅ | | | -| Computer Vision (CV) | Semantic Segmentation | [E-Net](https://gitee.com/mindspore/models/tree/master/research/cv/E-NET) | ✅ | | | -| Computer Vision (CV) | Semantic Segmentation | [Hrnet](https://gitee.com/mindspore/models/tree/master/research/cv/HRNetW48_seg) | ✅ | | | -| Computer Vision (CV) | Semantic Segmentation | [ICNet](https://gitee.com/mindspore/models/tree/master/research/cv/ICNet) | ✅ | | | -| Computer Vision (CV) | Semantic Segmentation | [PSPnet](https://gitee.com/mindspore/models/tree/master/research/cv/PSPNet) | ✅ | | | -| Computer Vision (CV) | Semantic Segmentation | [RefineNet](https://gitee.com/mindspore/models/tree/master/research/cv/RefineNet) | ✅ | | | -| Computer Vision (CV) | Semantic Segmentation | [Res2net_deeplabv3](https://gitee.com/mindspore/models/tree/master/research/cv/res2net_deeplabv3) | ✅ | | | -| Computer Vision (CV) | Semantic Segmentation | [UNet 3+](https://gitee.com/mindspore/models/tree/master/research/cv/UNet3+) | ✅ | | | -| Computer Vision (CV) | Semantic Segmentation | [V-net](https://gitee.com/mindspore/models/tree/master/research/cv/vnet) | ✅ | | | -| Computer Vision (CV) | Semantic Segmentation | [Autodeeplab](https://gitee.com/mindspore/models/tree/master/research/cv/Auto-DeepLab) | ✅ | | | -| Computer Vision (CV) | Pose Estimation | [AlphaPose](https://gitee.com/mindspore/models/tree/master/research/cv/AlphaPose) | ✅ | | | -| Computer Vision (CV) | Pose Estimation | [Hourglass](https://gitee.com/mindspore/models/tree/master/research/cv/StackedHourglass) | ✅ | | | -| Computer Vision (CV) | Pose Estimation | [Simple Baseline](https://gitee.com/mindspore/models/tree/master/research/cv/simple_baselines) | ✅ | | | -| Computer Vision (CV) | 6DoF Pose Estimation | [PVNet](https://gitee.com/mindspore/models/tree/master/research/cv/pvnet) | ✅ | | | -| Computer Vision (CV) | Image Retrieval |[Delf](https://gitee.com/mindspore/models/tree/master/research/cv/delf) | ✅ | | | -| Natural Language Processing (NLP) | Word Embedding | [Word2Vec Skip-Gram](https://gitee.com/mindspore/models/tree/master/research/nlp/skipgram) | ✅ | | | -| Natural Language Processing (NLP) | Dialogue Generation | [DAM](https://gitee.com/mindspore/models/tree/master/research/nlp/dam) | ✅ | | | -| Natural Language Processing (NLP) | Machine Translation | [Seq2Seq](https://gitee.com/mindspore/models/tree/master/research/nlp/seq2seq) | ✅ | | | -| Natural Language Processing (NLP) | Emotion Classification | [Senta](https://gitee.com/mindspore/models/tree/master/research/nlp/senta) | ✅ | | | -| Natural Language Processing (NLP) | Emotion Classification | [Attention LSTM](https://gitee.com/mindspore/models/tree/master/research/nlp/atae_lstm) | ✅ | | | -| Natural Language Processing (NLP) | Named Entity Recognition | [LSTM_CRF](https://gitee.com/mindspore/models/tree/master/research/nlp/lstm) | ✅ | | | -| Natural Language Processing (NLP) | Text Classification | [HyperText](https://gitee.com/mindspore/models/tree/master/research/nlp/hypertext) | ✅ | | | -| Natural Language Processing (NLP) | Text Classification | [TextRCNN](https://gitee.com/mindspore/models/tree/master/research/nlp/textrcnn) | ✅ | | | -| Natural Language Processing (NLP) | Natural Language Understanding | [ALBert](https://gitee.com/mindspore/models/tree/master/research/nlp/albert) | ✅ | | | -| Natural Language Processing (NLP) | Natural Language Understanding | [KT-Net](https://gitee.com/mindspore/models/tree/master/research/nlp/ktnet) | ✅ | | | -| Natural Language Processing (NLP) | Natural Language Understanding | [LUKE](https://gitee.com/mindspore/models/tree/master/research/nlp/luke) | ✅ | | | -| Natural Language Processing (NLP) | Natural Language Understanding | [DS-CNN](https://gitee.com/mindspore/models/tree/master/research/nlp/dscnn) | ✅ | | | -| Natural Language Processing (NLP) | Natural Language Understanding | [TPRR](https://gitee.com/mindspore/models/tree/master/research/nlp/tprr) | ✅ | | | -| Natural Language Processing (NLP) | Knowledge Graph Embedding | [RotatE](https://gitee.com/mindspore/models/tree/master/research/nlp/rotate) | ✅ | | | -| Recommender | Recommender System, CTR prediction | [AutoDis](https://gitee.com/mindspore/models/tree/master/research/recommend/autodis) | ✅ | | | -| Recommender | Recommender System, CTR prediction | [DeepFFM](https://gitee.com/mindspore/models/tree/master/research/recommend/Fat-DeepFFM) | ✅ | | | -| Recommender | Recommender System, CTR prediction | [DIEN](https://gitee.com/mindspore/models/tree/master/research/recommend/DIEN) | ✅ | | | -| Recommender | Recommender System, CTR prediction | [DLRM](https://gitee.com/mindspore/models/tree/master/research/recommend/dlrm) | ✅ | | | -| Recommender | Recommender System, CTR prediction | [EDCN](https://gitee.com/mindspore/models/tree/master/research/recommend/EDCN) | ✅ | | | -| Recommender | Recommender System, CTR prediction | [MMOE](https://gitee.com/mindspore/models/tree/master/research/recommend/mmoe) | ✅ | | | -| Audio | Audio Tagging | [FCN-4](https://gitee.com/mindspore/models/tree/master/research/audio/fcn-4) | ✅ | | | -| Audio | Keyword Spotting | [DS-CNN](https://gitee.com/mindspore/models/tree/master/research/audio/dscnn) | ✅ | | | -| Audio | Speech Recognition | [CTCModel](https://gitee.com/mindspore/models/tree/master/research/audio/ctcmodel) | ✅ | | | -| Audio | Speech Synthesis | [Wavenet](https://gitee.com/mindspore/models/tree/master/research/audio/wavenet) | ✅ | | | -| GNN | Traffic Prediction | [STGCN](https://gitee.com/mindspore/models/tree/master/research/cv/STGCN) | ✅ | | | -| GNN | Traffic Prediction | [TGCN](https://gitee.com/mindspore/models/tree/master/research/cv/tgcn) | ✅ | | | -| GNN | Social and Information Networks | [SGCN](https://gitee.com/mindspore/models/tree/master/research/gnn/sgcn) | ✅ | | | -| GNN | Graph Classification | [DGCN](https://gitee.com/mindspore/models/tree/master/research/gnn/dgcn) | ✅ | | | -| GNN | Graph Classification | [SDNE](https://gitee.com/mindspore/models/tree/master/research/gnn/sdne) | ✅ | | | -| High Performance Computing | Molecular Dynamics | [DeepPotentialH2O](https://gitee.com/mindspore/models/tree/master/research/hpc/molecular_dynamics) | ✅ | | | -| High Performance Computing | Ocean Model | [GOMO](https://gitee.com/mindspore/models/tree/master/research/hpc/ocean_model) | | ✅ | | -| Reinforcement Learning | Recommender System, CTR prediction | [MMOE](https://gitee.com/mindspore/models/tree/master/research/recommend/mmoe) | ✅ | | | - -- [Community](https://gitee.com/mindspore/models/tree/master/community) +| Computer Vision (CV) | Image Classification |[3D Densenet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/3D_DenseNet) | ✅ | | | +| Computer Vision (CV) | Image Classification |[Auto Augment](https://gitee.com/mindspore/models/tree/r1.6/research/cv/autoaugment) | ✅ | | | +| Computer Vision (CV) | Image Classification |[AVA](https://gitee.com/mindspore/models/tree/r1.6/research/cv/AVA_cifar) | ✅ | | | +| Computer Vision (CV) | Image Classification |[CCT](https://gitee.com/mindspore/models/tree/r1.6/research/cv/cct) | ✅ | | | +| Computer Vision (CV) | Image Classification |[dnet-nas](https://gitee.com/mindspore/models/tree/r1.6/research/cv/dnet_nas) | ✅ | | | +| Computer Vision (CV) | Image Classification |[Efficientnet-b0](https://gitee.com/mindspore/models/tree/r1.6/research/cv/efficientnet-b0) | ✅ | | | +| Computer Vision (CV) | Image Classification |[Efficientnet-b1](https://gitee.com/mindspore/models/tree/r1.6/research/cv/efficientnet-b1) | ✅ | | | +| Computer Vision (CV) | Image Classification |[Efficientnet-b2](https://gitee.com/mindspore/models/tree/r1.6/research/cv/efficientnet-b2) | ✅ | | | +| Computer Vision (CV) | Image Classification |[Efficientnet-b3](https://gitee.com/mindspore/models/tree/r1.6/research/cv/efficientnet-b3) | ✅ | | | +| Computer Vision (CV) | Image Classification |[FDA-BNN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/FDA-BNN) | ✅ | | | +| Computer Vision (CV) | Image Classification |[fishnet99](https://gitee.com/mindspore/models/tree/r1.6/research/cv/fishnet99) | ✅ | | | +| Computer Vision (CV) | Image Classification |[GENET](https://gitee.com/mindspore/models/tree/r1.6/research/cv/GENet_Res50) | ✅ | | | +| Computer Vision (CV) | Image Classification |[GhostNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/ghostnet) | ✅ | | | +| Computer Vision (CV) | Image Classification |[Glore_res200](https://gitee.com/mindspore/models/tree/r1.6/research/cv/glore_res200) | ✅ | | | +| Computer Vision (CV) | Image Classification |[Glore_res50](https://gitee.com/mindspore/models/tree/r1.6/research/cv/glore_res50) | ✅ | | | +| Computer Vision (CV) | Image Classification |[HarDNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/hardnet) | ✅ | | | +| Computer Vision (CV) | Image Classification |[HourNAS](https://gitee.com/mindspore/models/tree/r1.6/research/cv/HourNAS) | ✅ | | | +| Computer Vision (CV) | Image Classification |[HRNetW48-cls](https://gitee.com/mindspore/models/tree/r1.6/research/cv/HRNetW48_cls) | ✅ | | | +| Computer Vision (CV) | Image Classification |[ibn-net](https://gitee.com/mindspore/models/tree/r1.6/research/cv/ibnnet) | ✅ | | | +| Computer Vision (CV) | Image Classification |[Inception ResNet V2](https://gitee.com/mindspore/models/tree/r1.6/research/cv/inception_resnet_v2) | ✅ | | | +| Computer Vision (CV) | Image Classification |[Resnetv2_50_frn](https://gitee.com/mindspore/models/tree/r1.6/research/cv/resnetv2_50_frn) | ✅ | | | +| Computer Vision (CV) | Image Classification |[META-Baseline](https://gitee.com/mindspore/models/tree/r1.6/research/cv/meta-baseline) | ✅ | | | +| Computer Vision (CV) | Image Classification |[MNasNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/mnasnet) | ✅ | | | +| Computer Vision (CV) | Image Classification |[MobilenetV3-Large](https://gitee.com/mindspore/models/tree/r1.6/research/cv/mobilenetv3_large) | ✅ | | | +| Computer Vision (CV) | Image Classification |[MobilenetV3-Small](https://gitee.com/mindspore/models/tree/r1.6/research/cv/mobilenetV3_small_x1_0) | ✅ | | | +| Computer Vision (CV) | Image Classification |[NFNet-F0](https://gitee.com/mindspore/models/tree/r1.6/research/cv/NFNet) | ✅ | | | +| Computer Vision (CV) | Image Classification |[ntsnet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/ntsnet) | ✅ | | | +| Computer Vision (CV) | Image Classification |[Pdarts](https://gitee.com/mindspore/models/tree/r1.6/research/cv/PDarts) | ✅ | | | +| Computer Vision (CV) | Image Classification |[PNASNet-5](https://gitee.com/mindspore/models/tree/r1.6/research/cv/pnasnet) | ✅ | | | +| Computer Vision (CV) | Image Classification |[ProtoNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/ProtoNet) | ✅ | | | +| Computer Vision (CV) | Image Classification |[Proxylessnas](https://gitee.com/mindspore/models/tree/r1.6/research/cv/proxylessnas) | ✅ | | | +| Computer Vision (CV) | Image Classification |[RelationNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/relationnet) | ✅ | | | +| Computer Vision (CV) | Image Classification |[renas](https://gitee.com/mindspore/models/tree/r1.6/research/cv/renas) | ✅ | | | +| Computer Vision (CV) | Image Classification |[Res2net](https://gitee.com/mindspore/models/tree/r1.6/research/cv/res2net) | ✅ | | | +| Computer Vision (CV) | Image Classification |[ResNeSt-50](https://gitee.com/mindspore/models/tree/r1.6/research/cv/ResNeSt50) | ✅ | | | +| Computer Vision (CV) | Image Classification |[ResNet50-BAM](https://gitee.com/mindspore/models/tree/r1.6/research/cv/resnet50_bam) | ✅ | | | +| Computer Vision (CV) | Image Classification |[ResNet50-quadruplet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/metric_learn) | ✅ | | | +| Computer Vision (CV) | Image Classification |[ResNet50-triplet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/metric_learn) | ✅ | | | +| Computer Vision (CV) | Image Classification |[ResNetV2](https://gitee.com/mindspore/models/tree/r1.6/research/cv/metric_learn) | ✅ | | | +| Computer Vision (CV) | Image Classification |[ResNeXt152_vd_64x4d](https://gitee.com/mindspore/models/tree/r1.6/research/cv/resnext152_64x4d) | ✅ | | | +| Computer Vision (CV) | Image Classification |[SE-Net](https://gitee.com/mindspore/models/tree/r1.6/research/cv/SE-Net) | ✅ | | | +| Computer Vision (CV) | Image Classification |[SERes2Net50](https://gitee.com/mindspore/models/tree/r1.6/research/cv/res2net) | ✅ | | | +| Computer Vision (CV) | Image Classification |[SinglePathNas](https://gitee.com/mindspore/models/tree/r1.6/research/cv/single_path_nas) | ✅ | | | +| Computer Vision (CV) | Image Classification |[SKNet-50](https://gitee.com/mindspore/models/tree/r1.6/research/cv/sknet) | ✅ | | | +| Computer Vision (CV) | Image Classification |[SPPNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/SPPNet) | ✅ | | | +| Computer Vision (CV) | Image Classification |[SqueezeNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/squeezenet) | ✅ | | | +| Computer Vision (CV) | Image Classification |[SqueezeNet1_1](https://gitee.com/mindspore/models/tree/r1.6/research/cv/squeezenet) | ✅ | | | +| Computer Vision (CV) | Image Classification |[Swin Transformer](https://gitee.com/mindspore/models/tree/r1.6/research/cv/swin_transformer) | ✅ | | | +| Computer Vision (CV) | Image Classification |[TNT](https://gitee.com/mindspore/models/tree/r1.6/research/cv/TNT) | ✅ | | | +| Computer Vision (CV) | Image Classification |[VGG19](https://gitee.com/mindspore/models/tree/r1.6/research/cv/vgg19) | ✅ | | | +| Computer Vision (CV) | Image Classification |[Vit-Base](https://gitee.com/mindspore/models/tree/r1.6/research/cv/vit_base) | ✅ | | | +| Computer Vision (CV) | Image Classification |[Wide ResNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/wideresnet) | ✅ | | | +| Computer Vision (CV) | Image Classification | [FaceAttributes](https://gitee.com/mindspore/models/tree/r1.6/research/cv/FaceAttribute) | ✅ | | | +| Computer Vision (CV) | Image Classification | [FaceQualityAssessment](https://gitee.com/mindspore/models/tree/r1.6/research/cv/FaceQualityAssessment) | ✅ | | | +| Computer Vision (CV) | Re-Identification |[Aligned-ReID](https://gitee.com/mindspore/models/tree/r1.6/research/cv/AlignedReID) | ✅ | | | +| Computer Vision (CV) | Re-Identification |[DDAG](https://gitee.com/mindspore/models/tree/r1.6/research/cv/DDAG) | ✅ | | | +| Computer Vision (CV) | Re-Identification |[MVD](https://gitee.com/mindspore/models/tree/r1.6/research/cv/MVD) | ✅ | | | +| Computer Vision (CV) | Re-Identification |[OSNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/osnet) | ✅ | | | +| Computer Vision (CV) | Re-Identification |[PAMTRI](https://gitee.com/mindspore/models/tree/r1.6/research/cv/PAMTRI) | ✅ | | | +| Computer Vision (CV) | Re-Identification |[VehicleNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/VehicleNet) | ✅ | | | +| Computer Vision (CV) | Face Detection | [FaceDetection](https://gitee.com/mindspore/models/tree/r1.6/research/cv/FaceDetection) | ✅ | | | +| Computer Vision (CV) | Face Detection | [FaceBoxes](https://gitee.com/mindspore/models/tree/r1.6/research/cv/faceboxes) | ✅ | | | +| Computer Vision (CV) | Face Detection | [RetinaFace](https://gitee.com/mindspore/models/tree/r1.6/research/cv/retinaface) | ✅ | | | +| Computer Vision (CV) | Face Recognition | [Arcface](https://gitee.com/mindspore/models/tree/r1.6/research/cv/arcface) | ✅ | | | +| Computer Vision (CV) | Face Recognition | [DeepID](https://gitee.com/mindspore/models/tree/r1.6/research/cv/DeepID) | ✅ | | | +| Computer Vision (CV) | Face Recognition |[FaceRecognition](https://gitee.com/mindspore/models/tree/r1.6/research/cv/FaceRecognition) | ✅ | | | +| Computer Vision (CV) | Face Recognition |[FaceRecognitionForTracking](https://gitee.com/mindspore/models/tree/r1.6/research/cv/FaceRecognitionForTracking) | ✅ | | | +| Computer Vision (CV) | Face Recognition | [LightCNN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/LightCNN) | ✅ | | | +| Computer Vision (CV) | Object Detection | [Spnas](https://gitee.com/mindspore/models/tree/r1.6/research/cv/Spnas) | ✅ | | | +| Computer Vision (CV) | Object Detection | [SSD-GhostNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/ssd_ghostnet) | ✅ | | | +| Computer Vision (CV） | Object Detection | [EGNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/EGnet) | ✅ | | | +| Computer Vision (CV) | Object Detection | [FasterRCNN-FPN-DCN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/faster_rcnn_dcn) | ✅ | | | +| Computer Vision (CV) | Object Detection | [NAS-FPN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/nas-fpn) | ✅ | | | +| Computer Vision (CV) | Object Detection | [RAS](https://gitee.com/mindspore/models/tree/r1.6/research/cv/ras) | ✅ | | | +| Computer Vision (CV) | Object Detection | [r-cnn](https://gitee.com/mindspore/models/tree/r1.6/research/cv/rcnn) | ✅ | | | +| Computer Vision (CV) | Object Detection | [RefineDet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/RefineDet) | ✅ | | | +| Computer Vision (CV) | Object Detection | [Res2net_fasterrcnn](https://gitee.com/mindspore/models/tree/r1.6/research/cv/res2net_faster_rcnn) | ✅ | | | +| Computer Vision (CV) | Object Detection | [Res2net_yolov3](https://gitee.com/mindspore/models/tree/r1.6/research/cv/res2net_yolov3) | ✅ | | | +| Computer Vision (CV) | Object Detection | [Retinanet_resnet101](https://gitee.com/mindspore/models/tree/r1.6/research/cv/retinanet_resnet101) | ✅ | | | +| Computer Vision (CV) | Object Detection | [Retinanet_resnet152](https://gitee.com/mindspore/models/tree/r1.6/research/cv/retinanet_resnet152) | ✅ | | | +| Computer Vision (CV) | Object Detection | [SSD_MobilenetV2_fpnlite](https://gitee.com/mindspore/models/tree/r1.6/research/cv/ssd_mobilenetV2_FPNlite) | ✅ | | | +| Computer Vision (CV) | Object Detection | [ssd_mobilenet_v2](https://gitee.com/mindspore/models/tree/r1.6/research/cv/ssd_mobilenetV2) | ✅ | | | +| Computer Vision (CV) | Object Detection | [ssd_resnet50](https://gitee.com/mindspore/models/tree/r1.6/research/cv/ssd_resnet50) | ✅ | | | +| Computer Vision (CV) | Object Detection | [ssd_inceptionv2](https://gitee.com/mindspore/models/tree/r1.6/research/cv/ssd_inception_v2) | ✅ | | | +| Computer Vision (CV) | Object Detection | [ssd_resnet34](https://gitee.com/mindspore/models/tree/r1.6/research/cv/ssd_resnet34) | ✅ | | | +| Computer Vision (CV) | Object Detection | [U-2-Net](https://gitee.com/mindspore/models/tree/r1.6/research/cv/u2net) | ✅ | | | +| Computer Vision (CV) | Object Detection | [YOLOV3-tiny](https://gitee.com/mindspore/models/tree/r1.6/research/cv/yolov3_tiny) | ✅ | | | +| Computer Vision (CV) | Object Tracking |[SiamFC](https://gitee.com/mindspore/models/tree/r1.6/research/cv/SiamFC) | ✅ | | | +| Computer Vision (CV) | Object Tracking |[SiamRPN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/siamRPN) | ✅ | | | +| Computer Vision (CV) | Object Tracking |[FairMOT](https://gitee.com/mindspore/models/tree/r1.6/research/cv/fairmot) | ✅ | | | +| Computer Vision (CV) | Key Point Detection | [CenterNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/centernet) | ✅ | | ✅ | +| Computer Vision (CV) | Key Point Detection | [CenterNet-hourglass](https://gitee.com/mindspore/models/tree/r1.6/research/cv/centernet_det) | ✅ | | | +| Computer Vision (CV) | Key Point Detection | [CenterNet-resnet101](https://gitee.com/mindspore/models/tree/r1.6/research/cv/centernet_resnet101) | ✅ | | | +| Computer Vision (CV) | Key Point Detection | [CenterNet-resnet50](https://gitee.com/mindspore/models/tree/r1.6/research/cv/centernet_resnet50_v1) | ✅ | | | +| Computer Vision (CV) | Point Cloud Model |[PointNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/pointnet) | ✅ | | | +| Computer Vision (CV) | Point Cloud Model |[PointNet++](https://gitee.com/mindspore/models/tree/r1.6/research/cv/pointnet2) | ✅ | | | +| Computer Vision (CV) | Depth Estimation | [midas](https://gitee.com/mindspore/models/tree/r1.6/research/cv/midas) | ✅ | | | +| Computer Vision (CV) | Sequential Image Classification | [TCN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/TCN) | ✅ | | | +| Computer Vision (CV) | Temporal Localization | [TALL](https://gitee.com/mindspore/models/tree/r1.6/research/cv/tall) | ✅ | | | +| Computer Vision (CV) | Image Matting | [FCA-net](https://gitee.com/mindspore/models/tree/r1.6/research/cv/FCANet) | ✅ | | | +| Computer Vision (CV) | Video Classification | [Attention Cluster](https://gitee.com/mindspore/models/tree/r1.6/research/cv/AttentionCluster) | ✅ | | | +| Computer Vision (CV) | Video Classification | [ECO-lite](https://gitee.com/mindspore/models/tree/r1.6/research/cv/ecolite) | ✅ | | | +| Computer Vision (CV) | Video Classification | [R(2+1)D](https://gitee.com/mindspore/models/tree/r1.6/research/cv/r2plus1d) | ✅ | | | +| Computer Vision (CV) | Video Classification | [Resnet-3D](https://gitee.com/mindspore/models/tree/r1.6/research/cv/resnet3d) | ✅ | | | +| Computer Vision (CV) | Video Classification | [StNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/stnet) | ✅ | | | +| Computer Vision (CV) | Video Classification | [TSM](https://gitee.com/mindspore/models/tree/r1.6/research/cv/tsm) | ✅ | | | +| Computer Vision (CV) | Video Classification | [TSN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/tsn) | ✅ | | | +| Computer Vision (CV) | Zero-Shot Learnning | [DEM](https://gitee.com/mindspore/models/tree/r1.6/research/cv/dem) | ✅ | | | +| Computer Vision (CV) | Style Transfer |[AECRNET](https://gitee.com/mindspore/models/tree/r1.6/research/cv/aecrnet) | ✅ | | | +| Computer Vision (CV) | Style Transfer |[APDrawingGAN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/APDrawingGAN) | ✅ | | | +| Computer Vision (CV) | Style Transfer |[Arbitrary-image-stylization](https://gitee.com/mindspore/models/tree/r1.6/research/cv/ArbitraryStyleTransfer) | ✅ | | | +| Computer Vision (CV) | Style Transfer |[AttGAN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/AttGAN) | ✅ | | | +| Computer Vision (CV) | Style Transfer |[CycleGAN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/CycleGAN) | ✅ | | | +| Computer Vision (CV) | Image Super-Resolution |[CSD](https://gitee.com/mindspore/models/tree/r1.6/research/cv/csd) | ✅ | | | +| Computer Vision (CV) | Image Super-Resolution |[DBPN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/DBPN) | ✅ | | | +| Computer Vision (CV) | Image Super-Resolution |[EDSR](https://gitee.com/mindspore/models/tree/r1.6/research/cv/EDSR) | ✅ | | | +| Computer Vision (CV) | Image Super-Resolution |[esr-ea](https://gitee.com/mindspore/models/tree/r1.6/research/cv/esr_ea) | ✅ | | | +| Computer Vision (CV) | Image Super-Resolution |[ESRGAN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/ESRGAN) | ✅ | | | +| Computer Vision (CV) | Image Super-Resolution |[IRN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/IRN) | ✅ | | | +| Computer Vision (CV) | Image Super-Resolution |[RCAN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/RCAN) | ✅ | | | +| Computer Vision (CV) | Image Super-Resolution |[sr-ea](https://gitee.com/mindspore/models/tree/r1.6/research/cv/sr_ea) | ✅ | | | +| Computer Vision (CV) | Image Super-Resolution |[SRGAN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/SRGAN) | ✅ | | | +| Computer Vision (CV) | Image Super-Resolution |[wdsr](https://gitee.com/mindspore/models/tree/r1.6/research/cv/wdsr) | ✅ | | | +| Computer Vision (CV) | Image Denoising |[Neighbor2Neighbor](https://gitee.com/mindspore/models/tree/r1.6/research/cv/Neighbor2Neighbor) | ✅ | | | +| Computer Vision (CV) | Image Generation |[CGAN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/CGAN) | ✅ | | | +| Computer Vision (CV) | Image Generation |[DCGAN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/dcgan) | ✅ | | | +| Computer Vision (CV) | Image Generation |[GAN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/gan) | ✅ | | | +| Computer Vision (CV) | Image Generation |[IPT](https://gitee.com/mindspore/models/tree/r1.6/research/cv/IPT) | ✅ | | | +| Computer Vision (CV) | Image Generation |[pgan](https://gitee.com/mindspore/models/tree/r1.6/research/cv/PGAN) | ✅ | | | +| Computer Vision (CV) | Image Generation |[Photo2Cartoon](https://gitee.com/mindspore/models/tree/r1.6/research/cv/U-GAT-IT) | ✅ | | | +| Computer Vision (CV) | Image Generation |[Pix2Pix](https://gitee.com/mindspore/models/tree/r1.6/research/cv/Pix2Pix) | ✅ | | | +| Computer Vision (CV) | Image Generation |[SinGAN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/SinGAN) | ✅ | | | +| Computer Vision (CV) | Image Generation |[StarGAN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/StarGAN) | ✅ | | | +| Computer Vision (CV) | Image Generation |[STGAN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/STGAN) | ✅ | | | +| Computer Vision (CV) | Image Generation |[WGAN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/wgan) | ✅ | | | +| Computer Vision (CV) | Scene Text Detection | [AdvancedEast](https://gitee.com/mindspore/models/tree/r1.6/research/cv/advanced_east) | ✅ | | | +| Computer Vision (CV) | Scene Text Detection | [TextFuseNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/textfusenet) | ✅ | | | +| Computer Vision (CV) | Scene Text Recognition | [ManiDP](https://gitee.com/mindspore/models/tree/r1.6/research/cv/ManiDP) | ✅ | | | +| Computer Vision (CV) | Semantic Segmentation | [3d-cnn](https://gitee.com/mindspore/models/tree/r1.6/research/cv/3dcnn) | ✅ | | | +| Computer Vision (CV) | Semantic Segmentation | [adelaide_ea](https://gitee.com/mindspore/models/tree/r1.6/research/cv/adelaide_ea) | ✅ | | | +| Computer Vision (CV) | Semantic Segmentation | [DDRNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/DDRNet) | ✅ | | | +| Computer Vision (CV) | Semantic Segmentation | [E-Net](https://gitee.com/mindspore/models/tree/r1.6/research/cv/E-NET) | ✅ | | | +| Computer Vision (CV) | Semantic Segmentation | [Hrnet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/HRNetW48_seg) | ✅ | | | +| Computer Vision (CV) | Semantic Segmentation | [ICNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/ICNet) | ✅ | | | +| Computer Vision (CV) | Semantic Segmentation | [PSPnet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/PSPNet) | ✅ | | | +| Computer Vision (CV) | Semantic Segmentation | [RefineNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/RefineNet) | ✅ | | | +| Computer Vision (CV) | Semantic Segmentation | [Res2net_deeplabv3](https://gitee.com/mindspore/models/tree/r1.6/research/cv/res2net_deeplabv3) | ✅ | | | +| Computer Vision (CV) | Semantic Segmentation | [UNet 3+](https://gitee.com/mindspore/models/tree/r1.6/research/cv/UNet3+) | ✅ | | | +| Computer Vision (CV) | Semantic Segmentation | [V-net](https://gitee.com/mindspore/models/tree/r1.6/research/cv/vnet) | ✅ | | | +| Computer Vision (CV) | Semantic Segmentation | [Autodeeplab](https://gitee.com/mindspore/models/tree/r1.6/research/cv/Auto-DeepLab) | ✅ | | | +| Computer Vision (CV) | Pose Estimation | [AlphaPose](https://gitee.com/mindspore/models/tree/r1.6/research/cv/AlphaPose) | ✅ | | | +| Computer Vision (CV) | Pose Estimation | [Hourglass](https://gitee.com/mindspore/models/tree/r1.6/research/cv/StackedHourglass) | ✅ | | | +| Computer Vision (CV) | Pose Estimation | [Simple Baseline](https://gitee.com/mindspore/models/tree/r1.6/research/cv/simple_baselines) | ✅ | | | +| Computer Vision (CV) | Image Retrieval |[Delf](https://gitee.com/mindspore/models/tree/r1.6/research/cv/delf) | ✅ | | | +| Natural Language Processing (NLP) | Word Embedding | [Word2Vec Skip-Gram](https://gitee.com/mindspore/models/tree/r1.6/research/nlp/skipgram) | ✅ | | | +| Natural Language Processing (NLP) | Dialogue Generation | [DAM](https://gitee.com/mindspore/models/tree/r1.6/research/nlp/dam) | ✅ | | | +| Natural Language Processing (NLP) | Machine Translation | [Seq2Seq](https://gitee.com/mindspore/models/tree/r1.6/research/nlp/seq2seq) | ✅ | | | +| Natural Language Processing (NLP) | Emotion Classification | [Senta](https://gitee.com/mindspore/models/tree/r1.6/research/nlp/senta) | ✅ | | | +| Natural Language Processing (NLP) | Emotion Classification | [Attention LSTM](https://gitee.com/mindspore/models/tree/r1.6/research/nlp/atae_lstm) | ✅ | | | +| Natural Language Processing (NLP) | Named Entity Recognition | [LSTM_CRF](https://gitee.com/mindspore/models/tree/r1.6/research/nlp/lstm_crf) | ✅ | | | +| Natural Language Processing (NLP) | Text Classification | [HyperText](https://gitee.com/mindspore/models/tree/r1.6/research/nlp/hypertext) | ✅ | | | +| Natural Language Processing (NLP) | Text Classification | [TextRCNN](https://gitee.com/mindspore/models/tree/r1.6/research/nlp/textrcnn) | ✅ | | | +| Natural Language Processing (NLP) | Natural Language Understanding | [ALBert](https://gitee.com/mindspore/models/tree/r1.6/research/nlp/albert) | ✅ | | | +| Natural Language Processing (NLP) | Natural Language Understanding | [KT-Net](https://gitee.com/mindspore/models/tree/r1.6/research/nlp/ktnet) | ✅ | | | +| Natural Language Processing (NLP) | Natural Language Understanding | [LUKE](https://gitee.com/mindspore/models/tree/r1.6/research/nlp/luke) | ✅ | | | +| Natural Language Processing (NLP) | Natural Language Understanding | [TPRR](https://gitee.com/mindspore/models/tree/r1.6/research/nlp/tprr) | ✅ | | | +| Natural Language Processing (NLP) | Knowledge Graph Embedding | [RotatE](https://gitee.com/mindspore/models/tree/r1.6/research/nlp/rotate) | ✅ | | | +| Recommender | Recommender System, CTR prediction | [AutoDis](https://gitee.com/mindspore/models/tree/r1.6/research/recommend/autodis) | ✅ | | | +| Recommender | Recommender System, CTR prediction | [DeepFFM](https://gitee.com/mindspore/models/tree/r1.6/research/recommend/Fat-DeepFFM) | ✅ | | | +| Recommender | Recommender System, CTR prediction | [DIEN](https://gitee.com/mindspore/models/tree/r1.6/research/recommend/DIEN) | ✅ | | | +| Recommender | Recommender System, CTR prediction | [DLRM](https://gitee.com/mindspore/models/tree/r1.6/research/recommend/dlrm) | ✅ | | | +| Recommender | Recommender System, CTR prediction | [EDCN](https://gitee.com/mindspore/models/tree/r1.6/research/recommend/EDCN) | ✅ | | | +| Recommender | Recommender System, CTR prediction | [MMOE](https://gitee.com/mindspore/models/tree/r1.6/research/recommend/mmoe) | ✅ | | | +| Audio | Audio Tagging | [FCN-4](https://gitee.com/mindspore/models/tree/r1.6/research/audio/fcn-4) | ✅ | | | +| Audio | Keyword Spotting | [DS-CNN](https://gitee.com/mindspore/models/tree/r1.6/research/audio/dscnn) | ✅ | | | +| Audio | Speech Recognition | [CTCModel](https://gitee.com/mindspore/models/tree/r1.6/research/audio/ctcmodel) | ✅ | | | +| Audio | Speech Synthesis | [Wavenet](https://gitee.com/mindspore/models/tree/r1.6/research/audio/wavenet) | ✅ | | | +| GNN | Traffic Prediction | [STGCN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/stgcn) | ✅ | | | +| GNN | Traffic Prediction | [TGCN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/tgcn) | ✅ | | | +| GNN | Social and Information Networks | [SGCN](https://gitee.com/mindspore/models/tree/r1.6/research/gnn/sgcn) | ✅ | | | +| GNN | Graph Classification | [DGCN](https://gitee.com/mindspore/models/tree/r1.6/research/gnn/dgcn) | ✅ | | | +| GNN | Graph Classification | [SDNE](https://gitee.com/mindspore/models/tree/r1.6/research/gnn/sdne) | ✅ | | | +| High Performance Computing | Molecular Dynamics | [DeepPotentialH2O](https://gitee.com/mindspore/models/tree/r1.6/research/hpc/molecular_dynamics) | ✅ | | | +| High Performance Computing | Ocean Model | [GOMO](https://gitee.com/mindspore/models/tree/r1.6/research/hpc/ocean_model) | | ✅ | | +| Reinforcement Learning | Recommender System, CTR prediction | [MMOE](https://gitee.com/mindspore/models/tree/r1.6/research/recommend/mmoe) | ✅ | | | + +- [Community](https://gitee.com/mindspore/models/tree/r1.6/community) ## Announcements @@ -351,11 +350,11 @@ MindSpore is Apache 2.0 licensed. Please see the LICENSE file. ## License -[Apache License 2.0](https://gitee.com/mindspore/mindspore/blob/master/LICENSE) +[Apache License 2.0](https://gitee.com/mindspore/mindspore/blob/r1.6/LICENSE) ## FAQ -For more information about `MindSpore` framework, please refer to [FAQ](https://www.mindspore.cn/docs/faq/en/master/index.html) +For more information about `MindSpore` framework, please refer to [FAQ](https://www.mindspore.cn/docs/faq/en/r1.6/index.html) - **Q: How to resolve the lack of memory while using the model directly under "models" with errors such as *Failed to alloc memory pool memory*?** @@ -373,7 +372,7 @@ For more information about `MindSpore` framework, please refer to [FAQ](https:// - **Q: What is Some *RANK_TBAL_FILE* which mentioned in many models?** - **A**: *RANK_TABLE_FILE* is the config file of cluster on Ascend while running distributed training. For more information, you could refer to the generator [hccl_tools](https://gitee.com/mindspore/models/tree/master/utils/hccl_tools) and [Parallel Distributed Training Example](https://mindspore.cn/docs/programming_guide/en/r1.5/distributed_training_ascend.html#configuring-distributed-environment-variables) + **A**: *RANK_TABLE_FILE* is the config file of cluster on Ascend while running distributed training. For more information, you could refer to the generator [hccl_tools](https://gitee.com/mindspore/models/tree/r1.6/utils/hccl_tools) and [Parallel Distributed Training Example](https://mindspore.cn/docs/programming_guide/en/r1.5/distributed_training_ascend.html#configuring-distributed-environment-variables) - **Q: How to run the scripts on Windows system?** diff --git a/README_CN.md b/README_CN.md index 88eae6866cd105a05841ee39e02525610c42c164..fe55a0365c0cff8537251474d4a3964d45991bf8 100644 --- a/README_CN.md +++ b/README_CN.md @@ -1,4 +1,4 @@ -# ![MindSpore Logo](https://gitee.com/mindspore/mindspore/raw/master/docs/MindSpore-logo.png) +# ![MindSpore Logo](https://gitee.com/mindspore/mindspore/raw/r1.6/docs/MindSpore-logo.png) ## 欢迎来到MindSpore ModelZoo @@ -16,317 +16,316 @@ | 领域 | 子领域 | 网络 | Ascend | GPU | CPU | |:---- |:------- |:---- |:----: |:----: |:----: | -| 音频（Audio) | 音频合成（Speech Synthesis) | [LPCNet](https://gitee.com/mindspore/models/tree/master/official/audio/lpcnet) | ✅ | | | -| 音频（Audio) | 音频合成（Speech Synthesis) | [MelGAN](https://gitee.com/mindspore/models/tree/master/official/audio/melgan) | ✅ | | | -| 音频（Audio) | 音频合成（Speech Synthesis) | [Tacotron2](https://gitee.com/mindspore/models/tree/master/official/audio/tacotron2) | ✅ | | | -| 计算机视觉（CV） | 点云模型（Point Cloud Model） | [OctSqueeze](https://gitee.com/mindspore/models/tree/master/official/cv/octsqueeze) | ✅ | | | -| 计算机视觉（CV） | 光流估计（Optical Flow Estimation） | [PWCNet](https://gitee.com/mindspore/models/tree/master/official/cv/pwcnet) | ✅ | | | -| 计算机视觉（CV） | 目标跟踪（Object Tracking） | [Deepsort](https://gitee.com/mindspore/models/tree/master/official/cv/Deepsort) | ✅ | | | -| 计算机视觉（CV） | 目标跟踪（Object Tracking） | [ADNet](https://gitee.com/mindspore/models/tree/master/official/cv/ADNet) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） | [AlexNet](https://gitee.com/mindspore/models/tree/master/official/cv/alexnet) | ✅ | ✅ | | -| 计算机视觉（CV） | 图像分类（Image Classification） | [CNN](https://gitee.com/mindspore/models/tree/master/official/cv/cnn_direction_model) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） | [DenseNet100](https://gitee.com/mindspore/models/tree/master/official/cv/densenet) | | | ✅ | -| 计算机视觉（CV） | 图像分类（Image Classification） | [DenseNet121](https://gitee.com/mindspore/models/tree/master/official/cv/densenet) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） | [DPN](https://gitee.com/mindspore/models/tree/master/official/cv/dpn) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） | [EfficientNet-B0](https://gitee.com/mindspore/models/tree/master/official/cv/efficientnet) | | ✅ | | -| 计算机视觉（CV） | 图像分类（Image Classification） | [GoogLeNet](https://gitee.com/mindspore/models/tree/master/official/cv/googlenet) | ✅ | ✅ | | -| 计算机视觉（CV） | 图像分类（Image Classification） | [InceptionV3](https://gitee.com/mindspore/models/tree/master/official/cv/inceptionv3) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） | [InceptionV4](https://gitee.com/mindspore/models/tree/master/official/cv/inceptionv4) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） | [LeNet](https://gitee.com/mindspore/models/tree/master/official/cv/lenet) | ✅ | ✅ | ✅ | -| 计算机视觉（CV） | 图像分类（Image Classification） | [LeNet（量化）](https://gitee.com/mindspore/models/tree/master/official/cv/lenet_quant) | ✅ | ✅ | | -| 计算机视觉（CV） | 图像分类（Image Classification） | [MobileNetV1](https://gitee.com/mindspore/models/tree/master/official/cv/mobilenetv1) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） | [MobileNetV2](https://gitee.com/mindspore/models/tree/master/official/cv/mobilenetv2) | ✅ | ✅ | ✅ | -| 计算机视觉（CV） | 图像分类（Image Classification） | [MobileNetV2（量化）](https://gitee.com/mindspore/models/tree/master/official/cv/mobilenetv2_quant) | ✅ | ✅ | | -| 计算机视觉（CV） | 图像分类（Image Classification） | [MobileNetV3](https://gitee.com/mindspore/models/tree/master/official/cv/mobilenetv3) | | ✅ | | -| 计算机视觉（CV） | 图像分类（Image Classification） | [NASNet](https://gitee.com/mindspore/models/tree/master/official/cv/nasnet) | ✅ | ✅ | | -| 计算机视觉（CV） | 图像分类（Image Classification） | [ResNet-18](https://gitee.com/mindspore/models/tree/master/official/cv/resnet) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） | [ResNet-34](https://gitee.com/mindspore/models/tree/master/official/cv/resnet) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） | [ResNet-50](https://gitee.com/mindspore/models/tree/master/official/cv/resnet) | ✅ | ✅ | ✅ | -| 计算机视觉（CV） | 图像分类（Image Classification） | [ResNet-50（量化）](https://gitee.com/mindspore/models/tree/master/official/cv/resnet50_quant) | ✅ | | | -|计算机视觉（CV） | 图像分类（Image Classification） | [ResNet-101](https://gitee.com/mindspore/models/tree/master/official/cv/resnet) | ✅ | ✅ | | -|计算机视觉（CV） | 图像分类（Image Classification） | [ResNet-152](https://gitee.com/mindspore/models/tree/master/official/cv/resnet) | ✅ | | | -|计算机视觉（CV） | 图像分类（Image Classification） | [ResNeXt50](https://gitee.com/mindspore/models/tree/master/official/cv/resnext) | ✅ | ✅ | | -|计算机视觉（CV） | 图像分类（Image Classification） | [ResNeXt101](https://gitee.com/mindspore/models/tree/master/official/cv/resnext) | ✅ | | | -|计算机视觉（CV） | 图像分类（Image Classification） | [SE-ResNet50](https://gitee.com/mindspore/models/tree/master/official/cv/resnet) | ✅ | | | -|计算机视觉（CV） | 图像分类（Image Classification） | [SE-ResNext50](https://gitee.com/mindspore/models/tree/master/official/cv/SE_ResNeXt50) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） | [ShuffleNetV1](https://gitee.com/mindspore/models/tree/master/official/cv/shufflenetv1) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） | [ShuffleNetV2](https://gitee.com/mindspore/models/tree/master/official/cv/shufflenetv2) | | ✅ | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[SqueezeNet](https://gitee.com/mindspore/models/tree/master/official/cv/squeezenet) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） | [Tiny-DarkNet](https://gitee.com/mindspore/models/tree/master/official/cv/tinydarknet) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） | [VGG16](https://gitee.com/mindspore/models/tree/master/official/cv/vgg16) | ✅ | ✅ | | -| 计算机视觉（CV） | 图像分类（Image Classification） | [Xception](https://gitee.com/mindspore/models/tree/master/official/cv/xception) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） | [CspDarkNet53](https://gitee.com/mindspore/models/tree/master/official/cv/cspdarknet53) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） | [ErfNet](https://gitee.com/mindspore/models/tree/master/official/cv/erfnet) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） | [SimCLR](https://gitee.com/mindspore/models/tree/master/official/cv/simclr) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） | [Vit](https://gitee.com/mindspore/models/tree/master/official/cv/vit) | ✅ | | | -| 计算机视觉（CV） | 目标检测（Object Detection） | [CenterFace](https://gitee.com/mindspore/models/tree/master/official/cv/centerface) | ✅ | | | -| 计算机视觉（CV） | 目标检测（Object Detection） | [CTPN](https://gitee.com/mindspore/models/tree/master/official/cv/ctpn) | ✅ | | | -| 计算机视觉（CV） | 目标检测（Object Detection） | [Faster R-CNN](https://gitee.com/mindspore/models/tree/master/official/cv/faster_rcnn) | ✅ | ✅ | | -| 计算机视觉（CV） | 目标检测（Object Detection） | [Mask R-CNN](https://gitee.com/mindspore/models/tree/master/official/cv/maskrcnn) | ✅ | | | -| 计算机视觉（CV） | 目标检测（Object Detection） |[Mask R-CNN (MobileNetV1)](https://gitee.com/mindspore/models/tree/master/official/cv/maskrcnn_mobilenetv1) | ✅ | | | -| 计算机视觉（CV） | 目标检测（Object Detection） | [SSD](https://gitee.com/mindspore/models/tree/master/official/cv/ssd) | ✅ | ✅ | ✅ | -| 计算机视觉（CV） | 目标检测（Object Detection） | [SSD-MobileNetV1-FPN](https://gitee.com/mindspore/models/tree/master/official/cv/ssd) | ✅ | | | -| 计算机视觉（CV） | 目标检测（Object Detection） | [SSD-Resnet50-FPN](https://gitee.com/mindspore/models/tree/master/official/cv/ssd) | ✅ | | | -| 计算机视觉（CV） | 目标检测（Object Detection） | [SSD-VGG16](https://gitee.com/mindspore/models/tree/master/official/cv/ssd) | ✅ | | | -| 计算机视觉（CV） | 目标检测（Object Detection） | [WarpCTC](https://gitee.com/mindspore/models/tree/master/official/cv/warpctc) | ✅ | ✅ | | -| 计算机视觉（CV） | 目标检测（Object Detection） | [YOLOv3-ResNet18](https://gitee.com/mindspore/models/tree/master/official/cv/yolov3_resnet18) | ✅ | | | -| 计算机视觉（CV） | 目标检测（Object Detection） | [YOLOv3-DarkNet53](https://gitee.com/mindspore/models/tree/master/official/cv/yolov3_darknet53) | ✅ | ✅ | | -| 计算机视觉（CV） | 目标检测（Object Detection） | [YOLOv3-DarkNet53（量化）](https://gitee.com/mindspore/models/tree/master/official/cv/yolov3_darknet53_quant) | ✅ | | | -| 计算机视觉（CV） | 目标检测（Object Detection） |[YOLOv4](https://gitee.com/mindspore/models/tree/master/official/cv/yolov4) | ✅ | | | -| 计算机视觉（CV） | 目标检测（Object Detection） |[YOLOv5](https://gitee.com/mindspore/models/tree/master/official/cv/yolov5) | ✅ | | | -| 计算机视觉（CV） | 目标检测（Object Detection） |[RetinaNet](https://gitee.com/mindspore/models/tree/master/official/cv/retinanet) | ✅ | | | -| 计算机视觉（CV） | 文本检测（Text Detection） | [DeepText](https://gitee.com/mindspore/models/tree/master/official/cv/deeptext) | ✅ | | | -| 计算机视觉（CV） | 文本检测（Text Detection） | [PSENet](https://gitee.com/mindspore/models/tree/master/official/cv/psenet) | ✅ | | | -| 计算机视觉（CV） | 文本识别（Text Recognition） | [CNN+CTC](https://gitee.com/mindspore/models/tree/master/official/cv/cnnctc) | ✅ | | | -| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [DeepLabV3](https://gitee.com/mindspore/models/tree/master/official/cv/deeplabv3) | ✅ | | ✅ | -| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [DeepLabV3+](https://gitee.com/mindspore/models/tree/master/official/cv/deeplabv3plus) | ✅ | | | -| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [U-Net2D (Medical)](https://gitee.com/mindspore/models/tree/master/official/cv/unet) | ✅ | | | -| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [U-Net3D (Medical)](https://gitee.com/mindspore/models/tree/master/official/cv/unet3d) | ✅ | | | -| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [U-Net++](https://gitee.com/mindspore/models/tree/master/official/cv/unet) | ✅ | | | -| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [Fast-SCNN](https://gitee.com/mindspore/models/tree/master/official/cv/fasterscnn) | ✅ | | | -| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [FCN8s](https://gitee.com/mindspore/models/tree/master/official/cv/FCN8s) | ✅ | | | -| 计算机视觉（CV） | 关键点检测（Keypoint Detection） |[OpenPose](https://gitee.com/mindspore/models/tree/master/official/cv/openpose) | ✅ | | | -| 计算机视觉（CV） | 关键点检测（Keypoint Detection） |[SimplePoseNet](https://gitee.com/mindspore/models/tree/master/official/cv/simple_pose) | ✅ | | | -| 计算机视觉（CV） | 文本检测（Scene Text Detection） | [East](https://gitee.com/mindspore/models/tree/master/official/cv/east) | ✅ | | | -| 计算机视觉（CV） | 文本检测（Scene Text Detection） | [PSENet](https://gitee.com/mindspore/models/tree/master/official/cv/psenet) | ✅ | | | -| 计算机视觉（CV） | 文本识别（Scene Text Recognition） |[CRNN](https://gitee.com/mindspore/models/tree/master/official/cv/crnn) | ✅ | | | -| 计算机视觉（CV） | 文本识别（Scene Text Recognition） |[CNN+CTC](https://gitee.com/mindspore/models/tree/master/official/cv/cnnctc) | ✅ | | | -| 计算机视觉（CV） | 文本识别（Scene Text Recognition） |[CRNN-Seq2Seq-OCR](https://gitee.com/mindspore/models/tree/master/official/cv/crnn_seq2seq_ocr) | ✅ | | | -| 计算机视觉（CV） | 文本识别（Scene Text Recognition） |[WarpCTC](https://gitee.com/mindspore/models/tree/master/official/cv/warpctc) | ✅ | | | -| 计算机视觉（CV） | 缺陷检测（Defect Detection） |[ssim-ae](https://gitee.com/mindspore/models/tree/master/official/cv/ssim-ae) | ✅ | | | -| 计算机视觉（CV） | 人脸检测（Face Detection） | [RetinaFace-ResNet50](https://gitee.com/mindspore/models/tree/master/official/cv/retinaface_resnet50) | ✅ | ✅ | | -| 计算机视觉（CV） | 人脸检测（Face Detection） | [CenterFace](https://gitee.com/mindspore/models/tree/master/official/cv/centerface) | ✅ | | | -| 计算机视觉（CV） | 人脸检测（Face Detection） | [SphereFace](https://gitee.com/mindspore/models/tree/master/official/cv/sphereface) | ✅ | | | -| 计算机视觉（CV） | 人群计数（Crowd Counting） | [MCNN](https://gitee.com/mindspore/models/tree/master/official/cv/MCNN) | ✅ | | | -| 计算机视觉（CV） | 深度估计（Depth Estimation） | [DepthNet](https://gitee.com/mindspore/models/tree/master/official/cv/depthnet) | ✅ | | | -| 计算机视觉（CV） | 相机重定位（Camera Relocalization） | [PoseNet](https://gitee.com/mindspore/models/tree/master/official/cv/posenet) | ✅ | | | -| 计算机视觉（CV） | 图像抠图（Image Matting） | [Semantic Human Matting](https://gitee.com/mindspore/models/tree/master/official/cv/semantic_human_matting) | ✅ | | | -| 计算机视觉（CV） | 视频分类（Video Classification） | [C3D](https://gitee.com/mindspore/models/tree/master/official/cv/c3d) | ✅ | | | -| 计算机视觉（CV） | 图像超分（Image Super-Resolution） | [SRCNN](https://gitee.com/mindspore/models/tree/master/official/cv/srcnn) | ✅ | | | -| 计算机视觉（CV） | 图像去噪（Image Denoising） | [BRDNet](https://gitee.com/mindspore/models/tree/master/official/cv/brdnet) | ✅ | | | -| 计算机视觉（CV） | 图像去噪（Image Denoising） | [DnCNN](https://gitee.com/mindspore/models/tree/master/official/cv/dncnn) | ✅ | | | -| 计算机视觉（CV） | 图像去噪（Image Denoising） | [Learning-to-See-in-the-Dark](https://gitee.com/mindspore/models/tree/master/official/cv/LearningToSeeInTheDark) | ✅ | | | -| 计算机视觉（CV） | 图像质量评估（Image Quality Assessment） | [NIMA](https://gitee.com/mindspore/models/tree/master/official/cv/nima) | ✅ | | | -| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [BERT](https://gitee.com/mindspore/models/tree/master/official/nlp/bert) | ✅ | ✅ | | -| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [FastText](https://gitee.com/mindspore/models/tree/master/official/nlp/fasttext) | ✅ | | | -| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [GNMT v2](https://gitee.com/mindspore/models/tree/master/official/nlp/gnmt_v2) | ✅ | | | -| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [GRU](https://gitee.com/mindspore/models/tree/master/official/nlp/gru) | ✅ | | | -| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [MASS](https://gitee.com/mindspore/models/tree/master/official/nlp/mass) | ✅ | ✅ | | -| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [SentimentNet](https://gitee.com/mindspore/models/tree/master/official/nlp/lstm) | ✅ | ✅ | ✅ | -| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [Transformer](https://gitee.com/mindspore/models/tree/master/official/nlp/transformer) | ✅ | ✅ | | -| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [TinyBERT](https://gitee.com/mindspore/models/tree/master/official/nlp/tinybert) | ✅ | ✅ | | -| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [TextCNN](https://gitee.com/mindspore/models/tree/master/official/nlp/textcnn) | ✅ | | | -| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [CPM](https://gitee.com/mindspore/models/tree/master/official/nlp/cpm) | ✅ | | | -| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [ERNIE](https://gitee.com/mindspore/models/tree/master/official/nlp/ernie) | ✅ | | | -| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [GPT-3](https://gitee.com/mindspore/models/tree/master/official/nlp/gpt) | ✅ | | | -| 自然语言处理（NLP） | 情感分析（Emotion Classification) | [EmoTect](https://gitee.com/mindspore/models/tree/master/official/nlp/emotect) | ✅ | | | -| 自然语言处理（NLP） | 情感分析（Emotion Classification) | [LSTM](https://gitee.com/mindspore/models/tree/master/official/nlp/lstm) | ✅ | | | -| 自然语言处理（NLP） | 对话系统（Dialogue Generation) | [DGU](https://gitee.com/mindspore/models/tree/master/official/nlp/dgu) | ✅ | | | -| 自然语言处理（NLP） | 对话系统（Dialogue Generation) | [DuConv](https://gitee.com/mindspore/models/tree/master/official/nlp/duconv) | ✅ | | | -| 推荐（Recommender） | 推荐系统、点击率预估（Recommender System, CTR prediction） | [DeepFM](https://gitee.com/mindspore/models/tree/master/official/recommend/deepfm) | ✅ | ✅ | ✅ | -| 推荐（Recommender） | 推荐系统、搜索、排序（Recommender System, Search, Ranking） | [Wide&Deep](https://gitee.com/mindspore/models/tree/master/official/recommend/wide_and_deep) | ✅ | ✅ | | -| 推荐（Recommender） | 推荐系统（Recommender System） | [NAML](https://gitee.com/mindspore/models/tree/master/official/recommend/naml) | ✅ | | | -| 推荐（Recommender） | 推荐系统（Recommender System） | [NCF](https://gitee.com/mindspore/models/tree/master/official/recommend/ncf) | ✅ | | | -| 图神经网络（GNN） | 文本分类（Text Classification） | [GCN](https://gitee.com/mindspore/models/tree/master/official/gnn/gcn) | ✅ | | | -| 图神经网络（GNN） | 文本分类（Text Classification） | [GAT](https://gitee.com/mindspore/models/tree/master/official/gnn/gat) | ✅ | | | -| 图神经网络（GNN） | 推荐系统（Recommender System） | [BGCF](https://gitee.com/mindspore/models/tree/master/official/gnn/bgcf) | ✅ | | | +| 音频（Audio) | 音频合成（Speech Synthesis) | [LPCNet](https://gitee.com/mindspore/models/tree/r1.6/official/audio/lpcnet) | ✅ | | | +| 音频（Audio) | 音频合成（Speech Synthesis) | [MelGAN](https://gitee.com/mindspore/models/tree/r1.6/official/audio/melgan) | ✅ | | | +| 音频（Audio) | 音频合成（Speech Synthesis) | [Tacotron2](https://gitee.com/mindspore/models/tree/r1.6/official/audio/tacotron2) | ✅ | | | +| 计算机视觉（CV） | 点云模型（Point Cloud Model） | [OctSqueeze](https://gitee.com/mindspore/models/tree/r1.6/official/cv/octsqueeze) | ✅ | | | +| 计算机视觉（CV） | 光流估计（Optical Flow Estimation） | [PWCNet](https://gitee.com/mindspore/models/tree/r1.6/official/cv/pwcnet) | ✅ | | | +| 计算机视觉（CV） | 目标跟踪（Object Tracking） | [Deepsort](https://gitee.com/mindspore/models/tree/r1.6/official/cv/Deepsort) | ✅ | | | +| 计算机视觉（CV） | 目标跟踪（Object Tracking） | [ADNet](https://gitee.com/mindspore/models/tree/r1.6/official/cv/ADNet) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） | [AlexNet](https://gitee.com/mindspore/models/tree/r1.6/official/cv/alexnet) | ✅ | ✅ | | +| 计算机视觉（CV） | 图像分类（Image Classification） | [CNN](https://gitee.com/mindspore/models/tree/r1.6/official/cv/cnn_direction_model) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） | [DenseNet100](https://gitee.com/mindspore/models/tree/r1.6/official/cv/densenet) | | | ✅ | +| 计算机视觉（CV） | 图像分类（Image Classification） | [DenseNet121](https://gitee.com/mindspore/models/tree/r1.6/official/cv/densenet) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） | [DPN](https://gitee.com/mindspore/models/tree/r1.6/official/cv/dpn) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） | [EfficientNet-B0](https://gitee.com/mindspore/models/tree/r1.6/official/cv/efficientnet) | | ✅ | | +| 计算机视觉（CV） | 图像分类（Image Classification） | [GoogLeNet](https://gitee.com/mindspore/models/tree/r1.6/official/cv/googlenet) | ✅ | ✅ | | +| 计算机视觉（CV） | 图像分类（Image Classification） | [InceptionV3](https://gitee.com/mindspore/models/tree/r1.6/official/cv/inceptionv3) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） | [InceptionV4](https://gitee.com/mindspore/models/tree/r1.6/official/cv/inceptionv4) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） | [LeNet](https://gitee.com/mindspore/models/tree/r1.6/official/cv/lenet) | ✅ | ✅ | ✅ | +| 计算机视觉（CV） | 图像分类（Image Classification） | [LeNet（量化）](https://gitee.com/mindspore/models/tree/r1.6/official/cv/lenet_quant) | ✅ | ✅ | | +| 计算机视觉（CV） | 图像分类（Image Classification） | [MobileNetV1](https://gitee.com/mindspore/models/tree/r1.6/official/cv/mobilenetv1) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） | [MobileNetV2](https://gitee.com/mindspore/models/tree/r1.6/official/cv/mobilenetv2) | ✅ | ✅ | ✅ | +| 计算机视觉（CV） | 图像分类（Image Classification） | [MobileNetV2（量化）](https://gitee.com/mindspore/models/tree/r1.6/official/cv/mobilenetv2_quant) | ✅ | ✅ | | +| 计算机视觉（CV） | 图像分类（Image Classification） | [MobileNetV3](https://gitee.com/mindspore/models/tree/r1.6/official/cv/mobilenetv3) | | ✅ | | +| 计算机视觉（CV） | 图像分类（Image Classification） | [NASNet](https://gitee.com/mindspore/models/tree/r1.6/official/cv/nasnet) | ✅ | ✅ | | +| 计算机视觉（CV） | 图像分类（Image Classification） | [ResNet-18](https://gitee.com/mindspore/models/tree/r1.6/official/cv/resnet) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） | [ResNet-34](https://gitee.com/mindspore/models/tree/r1.6/official/cv/resnet) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） | [ResNet-50](https://gitee.com/mindspore/models/tree/r1.6/official/cv/resnet) | ✅ | ✅ | ✅ | +| 计算机视觉（CV） | 图像分类（Image Classification） | [ResNet-50（量化）](https://gitee.com/mindspore/models/tree/r1.6/official/cv/resnet50_quant) | ✅ | | | +|计算机视觉（CV） | 图像分类（Image Classification） | [ResNet-101](https://gitee.com/mindspore/models/tree/r1.6/official/cv/resnet) | ✅ | ✅ | | +|计算机视觉（CV） | 图像分类（Image Classification） | [ResNet-152](https://gitee.com/mindspore/models/tree/r1.6/official/cv/resnet) | ✅ | | | +|计算机视觉（CV） | 图像分类（Image Classification） | [ResNeXt50](https://gitee.com/mindspore/models/tree/r1.6/official/cv/resnext) | ✅ | ✅ | | +|计算机视觉（CV） | 图像分类（Image Classification） | [ResNeXt101](https://gitee.com/mindspore/models/tree/r1.6/official/cv/resnext) | ✅ | | | +|计算机视觉（CV） | 图像分类（Image Classification） | [SE-ResNet50](https://gitee.com/mindspore/models/tree/r1.6/official/cv/resnet) | ✅ | | | +|计算机视觉（CV） | 图像分类（Image Classification） | [SE-ResNext50](https://gitee.com/mindspore/models/tree/r1.6/official/cv/se_resnext50) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） | [ShuffleNetV1](https://gitee.com/mindspore/models/tree/r1.6/official/cv/shufflenetv1) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） | [ShuffleNetV2](https://gitee.com/mindspore/models/tree/r1.6/official/cv/shufflenetv2) | | ✅ | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[SqueezeNet](https://gitee.com/mindspore/models/tree/r1.6/official/cv/squeezenet) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） | [Tiny-DarkNet](https://gitee.com/mindspore/models/tree/r1.6/official/cv/tinydarknet) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） | [VGG16](https://gitee.com/mindspore/models/tree/r1.6/official/cv/vgg16) | ✅ | ✅ | | +| 计算机视觉（CV） | 图像分类（Image Classification） | [Xception](https://gitee.com/mindspore/models/tree/r1.6/official/cv/xception) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） | [CspDarkNet53](https://gitee.com/mindspore/models/tree/r1.6/official/cv/cspdarknet53) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） | [ErfNet](https://gitee.com/mindspore/models/tree/r1.6/official/cv/erfnet) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） | [SimCLR](https://gitee.com/mindspore/models/tree/r1.6/official/cv/simclr) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） | [Vit](https://gitee.com/mindspore/models/tree/r1.6/official/cv/vit) | ✅ | | | +| 计算机视觉（CV） | 目标检测（Object Detection） | [CenterFace](https://gitee.com/mindspore/models/tree/r1.6/official/cv/centerface) | ✅ | | | +| 计算机视觉（CV） | 目标检测（Object Detection） | [CTPN](https://gitee.com/mindspore/models/tree/r1.6/official/cv/ctpn) | ✅ | | | +| 计算机视觉（CV） | 目标检测（Object Detection） | [Faster R-CNN](https://gitee.com/mindspore/models/tree/r1.6/official/cv/faster_rcnn) | ✅ | ✅ | | +| 计算机视觉（CV） | 目标检测（Object Detection） | [Mask R-CNN](https://gitee.com/mindspore/models/tree/r1.6/official/cv/maskrcnn) | ✅ | | | +| 计算机视觉（CV） | 目标检测（Object Detection） |[Mask R-CNN (MobileNetV1)](https://gitee.com/mindspore/models/tree/r1.6/official/cv/maskrcnn_mobilenetv1) | ✅ | | | +| 计算机视觉（CV） | 目标检测（Object Detection） | [SSD](https://gitee.com/mindspore/models/tree/r1.6/official/cv/ssd) | ✅ | ✅ | ✅ | +| 计算机视觉（CV） | 目标检测（Object Detection） | [SSD-MobileNetV1-FPN](https://gitee.com/mindspore/models/tree/r1.6/official/cv/ssd) | ✅ | | | +| 计算机视觉（CV） | 目标检测（Object Detection） | [SSD-Resnet50-FPN](https://gitee.com/mindspore/models/tree/r1.6/official/cv/ssd) | ✅ | | | +| 计算机视觉（CV） | 目标检测（Object Detection） | [SSD-VGG16](https://gitee.com/mindspore/models/tree/r1.6/official/cv/ssd) | ✅ | | | +| 计算机视觉（CV） | 目标检测（Object Detection） | [WarpCTC](https://gitee.com/mindspore/models/tree/r1.6/official/cv/warpctc) | ✅ | ✅ | | +| 计算机视觉（CV） | 目标检测（Object Detection） | [YOLOv3-ResNet18](https://gitee.com/mindspore/models/tree/r1.6/official/cv/yolov3_resnet18) | ✅ | | | +| 计算机视觉（CV） | 目标检测（Object Detection） | [YOLOv3-DarkNet53](https://gitee.com/mindspore/models/tree/r1.6/official/cv/yolov3_darknet53) | ✅ | ✅ | | +| 计算机视觉（CV） | 目标检测（Object Detection） | [YOLOv3-DarkNet53（量化）](https://gitee.com/mindspore/models/tree/r1.6/official/cv/yolov3_darknet53_quant) | ✅ | | | +| 计算机视觉（CV） | 目标检测（Object Detection） |[YOLOv4](https://gitee.com/mindspore/models/tree/r1.6/official/cv/yolov4) | ✅ | | | +| 计算机视觉（CV） | 目标检测（Object Detection） |[YOLOv5](https://gitee.com/mindspore/models/tree/r1.6/official/cv/yolov5) | ✅ | | | +| 计算机视觉（CV） | 目标检测（Object Detection） |[RetinaNet](https://gitee.com/mindspore/models/tree/r1.6/official/cv/retinanet) | ✅ | | | +| 计算机视觉（CV） | 文本检测（Text Detection） | [DeepText](https://gitee.com/mindspore/models/tree/r1.6/official/cv/deeptext) | ✅ | | | +| 计算机视觉（CV） | 文本检测（Text Detection） | [PSENet](https://gitee.com/mindspore/models/tree/r1.6/official/cv/psenet) | ✅ | | | +| 计算机视觉（CV） | 文本识别（Text Recognition） | [CNN+CTC](https://gitee.com/mindspore/models/tree/r1.6/official/cv/cnnctc) | ✅ | | | +| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [DeepLabV3](https://gitee.com/mindspore/models/tree/r1.6/official/cv/deeplabv3) | ✅ | | ✅ | +| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [DeepLabV3+](https://gitee.com/mindspore/models/tree/r1.6/official/cv/deeplabv3plus) | ✅ | | | +| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [U-Net2D (Medical)](https://gitee.com/mindspore/models/tree/r1.6/official/cv/unet) | ✅ | | | +| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [U-Net3D (Medical)](https://gitee.com/mindspore/models/tree/r1.6/official/cv/unet3d) | ✅ | | | +| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [U-Net++](https://gitee.com/mindspore/models/tree/r1.6/official/cv/unet) | ✅ | | | +| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [Fast-SCNN](https://gitee.com/mindspore/models/tree/r1.6/official/cv/fastscnn) | ✅ | | | +| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [FCN8s](https://gitee.com/mindspore/models/tree/r1.6/official/cv/FCN8s) | ✅ | | | +| 计算机视觉（CV） | 姿态检测（6DoF Pose Estimation） | [PVNet](https://gitee.com/mindspore/models/tree/r1.6/official/cv/pvnet) | ✅ | | | +| 计算机视觉（CV） | 关键点检测（Keypoint Detection） |[OpenPose](https://gitee.com/mindspore/models/tree/r1.6/official/cv/openpose) | ✅ | | | +| 计算机视觉（CV） | 关键点检测（Keypoint Detection） |[SimplePoseNet](https://gitee.com/mindspore/models/tree/r1.6/official/cv/simple_pose) | ✅ | | | +| 计算机视觉（CV） | 文本检测（Scene Text Detection） | [East](https://gitee.com/mindspore/models/tree/r1.6/official/cv/east) | ✅ | | | +| 计算机视觉（CV） | 文本检测（Scene Text Detection） | [PSENet](https://gitee.com/mindspore/models/tree/r1.6/official/cv/psenet) | ✅ | | | +| 计算机视觉（CV） | 文本识别（Scene Text Recognition） |[CRNN](https://gitee.com/mindspore/models/tree/r1.6/official/cv/crnn) | ✅ | | | +| 计算机视觉（CV） | 文本识别（Scene Text Recognition） |[CNN+CTC](https://gitee.com/mindspore/models/tree/r1.6/official/cv/cnnctc) | ✅ | | | +| 计算机视觉（CV） | 文本识别（Scene Text Recognition） |[CRNN-Seq2Seq-OCR](https://gitee.com/mindspore/models/tree/r1.6/official/cv/crnn_seq2seq_ocr) | ✅ | | | +| 计算机视觉（CV） | 文本识别（Scene Text Recognition） |[WarpCTC](https://gitee.com/mindspore/models/tree/r1.6/official/cv/warpctc) | ✅ | | | +| 计算机视觉（CV） | 缺陷检测（Defect Detection） |[PatchCore](https://gitee.com/mindspore/models/tree/r1.6/official/cv/patchcore) | ✅ | | | +| 计算机视觉（CV） | 缺陷检测（Defect Detection） |[ssim-ae](https://gitee.com/mindspore/models/tree/r1.6/official/cv/ssim-ae) | ✅ | | | +| 计算机视觉（CV） | 人脸检测（Face Detection） | [RetinaFace-ResNet50](https://gitee.com/mindspore/models/tree/r1.6/official/cv/retinaface_resnet50) | ✅ | ✅ | | +| 计算机视觉（CV） | 人脸检测（Face Detection） | [CenterFace](https://gitee.com/mindspore/models/tree/r1.6/official/cv/centerface) | ✅ | | | +| 计算机视觉（CV） | 人脸检测（Face Detection） | [SphereFace](https://gitee.com/mindspore/models/tree/r1.6/official/cv/sphereface) | ✅ | | | +| 计算机视觉（CV） | 人群计数（Crowd Counting） | [MCNN](https://gitee.com/mindspore/models/tree/r1.6/official/cv/MCNN) | ✅ | | | +| 计算机视觉（CV） | 深度估计（Depth Estimation） | [DepthNet](https://gitee.com/mindspore/models/tree/r1.6/official/cv/depthnet) | ✅ | | | +| 计算机视觉（CV） | 相机重定位（Camera Relocalization） | [PoseNet](https://gitee.com/mindspore/models/tree/r1.6/official/cv/posenet) | ✅ | | | +| 计算机视觉（CV） | 图像抠图（Image Matting） | [Semantic Human Matting](https://gitee.com/mindspore/models/tree/r1.6/official/cv/semantic_human_matting) | ✅ | | | +| 计算机视觉（CV） | 视频分类（Video Classification） | [C3D](https://gitee.com/mindspore/models/tree/r1.6/official/cv/c3d) | ✅ | | | +| 计算机视觉（CV） | 图像超分（Image Super-Resolution） |[RDN](https://gitee.com/mindspore/models/tree/r1.6/official/cv/RDN) | ✅ | ✅ | | +| 计算机视觉（CV） | 图像超分（Image Super-Resolution） | [SRCNN](https://gitee.com/mindspore/models/tree/r1.6/official/cv/srcnn) | ✅ | | | +| 计算机视觉（CV） | 图像去噪（Image Denoising） | [BRDNet](https://gitee.com/mindspore/models/tree/r1.6/official/cv/brdnet) | ✅ | | | +| 计算机视觉（CV） | 图像去噪（Image Denoising） | [DnCNN](https://gitee.com/mindspore/models/tree/r1.6/official/cv/dncnn) | ✅ | | | +| 计算机视觉（CV） | 图像去噪（Image Denoising） | [Learning-to-See-in-the-Dark](https://gitee.com/mindspore/models/tree/r1.6/official/cv/LearningToSeeInTheDark) | ✅ | | | +| 计算机视觉（CV） | 图像质量评估（Image Quality Assessment） | [NIMA](https://gitee.com/mindspore/models/tree/r1.6/official/cv/nima) | ✅ | | | +| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [BERT](https://gitee.com/mindspore/models/tree/r1.6/official/nlp/bert) | ✅ | ✅ | | +| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [FastText](https://gitee.com/mindspore/models/tree/r1.6/official/nlp/fasttext) | ✅ | | | +| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [GNMT v2](https://gitee.com/mindspore/models/tree/r1.6/official/nlp/gnmt_v2) | ✅ | | | +| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [GRU](https://gitee.com/mindspore/models/tree/r1.6/official/nlp/gru) | ✅ | | | +| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [MASS](https://gitee.com/mindspore/models/tree/r1.6/official/nlp/mass) | ✅ | ✅ | | +| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [SentimentNet](https://gitee.com/mindspore/models/tree/r1.6/official/nlp/lstm) | ✅ | ✅ | ✅ | +| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [Transformer](https://gitee.com/mindspore/models/tree/r1.6/official/nlp/transformer) | ✅ | ✅ | | +| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [TinyBERT](https://gitee.com/mindspore/models/tree/r1.6/official/nlp/tinybert) | ✅ | ✅ | | +| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [TextCNN](https://gitee.com/mindspore/models/tree/r1.6/official/nlp/textcnn) | ✅ | | | +| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [CPM](https://gitee.com/mindspore/models/tree/r1.6/official/nlp/cpm) | ✅ | | | +| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [ERNIE](https://gitee.com/mindspore/models/tree/r1.6/official/nlp/ernie) | ✅ | | | +| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [GPT-3](https://gitee.com/mindspore/models/tree/r1.6/official/nlp/gpt) | ✅ | | | +| 自然语言处理（NLP） | 情感分析（Emotion Classification) | [EmoTect](https://gitee.com/mindspore/models/tree/r1.6/official/nlp/emotect) | ✅ | | | +| 自然语言处理（NLP） | 情感分析（Emotion Classification) | [LSTM](https://gitee.com/mindspore/models/tree/r1.6/official/nlp/lstm) | ✅ | | | +| 自然语言处理（NLP） | 对话系统（Dialogue Generation) | [DGU](https://gitee.com/mindspore/models/tree/r1.6/official/nlp/dgu) | ✅ | | | +| 自然语言处理（NLP） | 对话系统（Dialogue Generation) | [DuConv](https://gitee.com/mindspore/models/tree/r1.6/official/nlp/duconv) | ✅ | | | +| 推荐（Recommender） | 推荐系统、点击率预估（Recommender System, CTR prediction） | [DeepFM](https://gitee.com/mindspore/models/tree/r1.6/official/recommend/deepfm) | ✅ | ✅ | ✅ | +| 推荐（Recommender） | 推荐系统、搜索、排序（Recommender System, Search, Ranking） | [Wide&Deep](https://gitee.com/mindspore/models/tree/r1.6/official/recommend/wide_and_deep) | ✅ | ✅ | | +| 推荐（Recommender） | 推荐系统（Recommender System） | [NAML](https://gitee.com/mindspore/models/tree/r1.6/official/recommend/naml) | ✅ | | | +| 推荐（Recommender） | 推荐系统（Recommender System） | [NCF](https://gitee.com/mindspore/models/tree/r1.6/official/recommend/ncf) | ✅ | | | +| 图神经网络（GNN） | 文本分类（Text Classification） | [GCN](https://gitee.com/mindspore/models/tree/r1.6/official/gnn/gcn) | ✅ | | | +| 图神经网络（GNN） | 文本分类（Text Classification） | [GAT](https://gitee.com/mindspore/models/tree/r1.6/official/gnn/gat) | ✅ | | | +| 图神经网络（GNN） | 推荐系统（Recommender System） | [BGCF](https://gitee.com/mindspore/models/tree/r1.6/official/gnn/bgcf) | ✅ | | | ### 研究网络 | 领域 | 子领域 | 网络 | Ascend | GPU | CPU | |:---- |:------- |:---- |:----: |:----: |:----: | -| 计算机视觉（CV） | 图像分类（Image Classification） |[3D Densenet](https://gitee.com/mindspore/models/tree/master/research/cv/3D_DenseNet) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[Auto Augment](https://gitee.com/mindspore/models/tree/master/research/cv/autoaugment) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[AVA](https://gitee.com/mindspore/models/tree/master/research/cv/AVA_cifar) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[CCT](https://gitee.com/mindspore/models/tree/master/research/cv/CCT) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[dnet-nas](https://gitee.com/mindspore/models/tree/master/research/cv/dnet_nas) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[Efficientnet-b0](https://gitee.com/mindspore/models/tree/master/research/cv/efficient-b0) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[Efficientnet-b1](https://gitee.com/mindspore/models/tree/master/research/cv/efficient-b1) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[Efficientnet-b2](https://gitee.com/mindspore/models/tree/master/research/cv/efficient-b2) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[Efficientnet-b3](https://gitee.com/mindspore/models/tree/master/research/cv/efficient-b3) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[FDA-BNN](https://gitee.com/mindspore/models/tree/master/research/cv/FDA-BNN) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[fishnet99](https://gitee.com/mindspore/models/tree/master/research/cv/fishnet99) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[GENET](https://gitee.com/mindspore/models/tree/master/research/cv/GENet_Res50) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[GhostNet](https://gitee.com/mindspore/models/tree/master/research/cv/ghostnet) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[Glore_res200](https://gitee.com/mindspore/models/tree/master/research/cv/glore_res200) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[Glore_res50](https://gitee.com/mindspore/models/tree/master/research/cv/glore_res50) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[HarDNet](https://gitee.com/mindspore/models/tree/master/research/cv/hardnet) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[HourNAS](https://gitee.com/mindspore/models/tree/master/research/cv/HourNAS) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[HRNetW48-cls](https://gitee.com/mindspore/models/tree/master/research/cv/HRNetW48_cls) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[ibn-net](https://gitee.com/mindspore/models/tree/master/research/cv/ibnnet) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[Inception ResNet V2](https://gitee.com/mindspore/models/tree/master/research/cv/inception_resnet_v2) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[Resnetv2_50_frn](https://gitee.com/mindspore/models/tree/master/research/cv/resnetv2_50_frn) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[META-Baseline](https://gitee.com/mindspore/models/tree/master/research/cv/meta-baseline) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[MNasNet](https://gitee.com/mindspore/models/tree/master/research/cv/mnasnet) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[MobilenetV3-Large](https://gitee.com/mindspore/models/tree/master/research/cv/mobilenetv3_large) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[MobilenetV3-Small](https://gitee.com/mindspore/models/tree/master/research/cv/mobilenetv3_small_x1_0) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[NFNet-F0](https://gitee.com/mindspore/models/tree/master/research/cv/NFNet) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[ntsnet](https://gitee.com/mindspore/models/tree/master/research/cv/ntsnet) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[Pdarts](https://gitee.com/mindspore/models/tree/master/research/cv/Pdarts) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[PNASNet-5](https://gitee.com/mindspore/models/tree/master/research/cv/pnasnet) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[ProtoNet](https://gitee.com/mindspore/models/tree/master/research/cv/ProtoNet) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[Proxylessnas](https://gitee.com/mindspore/models/tree/master/research/cv/proxylessnas) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[RelationNet](https://gitee.com/mindspore/models/tree/master/research/cv/relationnet) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[renas](https://gitee.com/mindspore/models/tree/master/research/cv/renas) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[Res2net](https://gitee.com/mindspore/models/tree/master/research/cv/res2net) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[ResNeSt-50](https://gitee.com/mindspore/models/tree/master/research/cv/ResNeSt50) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[ResNet50-BAM](https://gitee.com/mindspore/models/tree/master/research/cv/resnet50_bam) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[ResNet50-quadruplet](https://gitee.com/mindspore/models/tree/master/research/cv/metric_learn) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[ResNet50-triplet](https://gitee.com/mindspore/models/tree/master/research/cv/metric_learn) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[ResNetV2](https://gitee.com/mindspore/models/tree/master/research/cv/metric_learn) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[ResNeXt152_vd_64x4d](https://gitee.com/mindspore/models/tree/master/research/cv/resnext152_64x4d) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[SE-Net](https://gitee.com/mindspore/models/tree/master/research/cv/SE-Net) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[SERes2Net50](https://gitee.com/mindspore/models/tree/master/research/cv/res2net) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[SinglePathNas](https://gitee.com/mindspore/models/tree/master/research/cv/single_path_nas) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[SKNet-50](https://gitee.com/mindspore/models/tree/master/research/cv/sknet) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[SPPNet](https://gitee.com/mindspore/models/tree/master/research/cv/SPPNet) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[SqueezeNet](https://gitee.com/mindspore/models/tree/master/research/cv/squeezenet) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[SqueezeNet1_1](https://gitee.com/mindspore/models/tree/master/research/cv/squeezenet) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[Swin Transformer](https://gitee.com/mindspore/models/tree/master/research/cv/swin_transformer) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[TNT](https://gitee.com/mindspore/models/tree/master/research/cv/TNT) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[VGG19](https://gitee.com/mindspore/models/tree/master/research/cv/vgg19) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[Vit-Base](https://gitee.com/mindspore/models/tree/master/research/cv/vit_base) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[Wide ResNet](https://gitee.com/mindspore/models/tree/master/research/cv/wideresnet) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[FaceAttributes](https://gitee.com/mindspore/models/tree/master/research/cv/FaceAttribute) | ✅ | | | -| 计算机视觉（CV） | 图像分类（Image Classification） |[FaceQualityAssessment](https://gitee.com/mindspore/models/tree/master/research/cv/FaceQualityAssessment) | ✅ | | | -| 计算机视觉（CV） | 重识别（Re-Identification） |[Aligned-ReID](https://gitee.com/mindspore/models/tree/master/research/cv/AlignedReID) | ✅ | | | -| 计算机视觉（CV） | 重识别（Re-Identification） |[DDAG](https://gitee.com/mindspore/models/tree/master/research/cv/DDAG) | ✅ | | | -| 计算机视觉（CV） | 重识别（Re-Identification） |[MVD](https://gitee.com/mindspore/models/tree/master/research/cv/MVD) | ✅ | | | -| 计算机视觉（CV） | 重识别（Re-Identification） |[OSNet](https://gitee.com/mindspore/models/tree/master/research/cv/osnet) | ✅ | | | -| 计算机视觉（CV） | 重识别（Re-Identification） |[PAMTRI](https://gitee.com/mindspore/models/tree/master/research/cv/PAMTRI) | ✅ | | | -| 计算机视觉（CV） | 重识别（Re-Identification） |[VehicleNet](https://gitee.com/mindspore/models/tree/master/research/cv/VehicleNet) | ✅ | | | -| 计算机视觉（CV） | 人脸检测（Face Detection） | [FaceDetection](https://gitee.com/mindspore/models/tree/master/research/cv/FaceDetection) | ✅ | | | -| 计算机视觉（CV） | 人脸检测（Face Detection） | [FaceBoxes](https://gitee.com/mindspore/models/tree/master/research/cv/faceboxes) | ✅ | | | -| 计算机视觉（CV） | 人脸检测（Face Detection） | [RetinaFace](https://gitee.com/mindspore/models/tree/master/research/cv/retinaface) | ✅ | | | -| 计算机视觉（CV） | 人脸识别（Face Recognition） | [Arcface](https://gitee.com/mindspore/models/tree/master/research/cv/arcface) | ✅ | | | -| 计算机视觉（CV） | 人脸识别（Face Recognition） | [DeepID](https://gitee.com/mindspore/models/tree/master/research/cv/DeepID) | ✅ | | | -| 计算机视觉（CV） | 人脸识别（Face Recognition） |[FaceRecognition](https://gitee.com/mindspore/models/tree/master/research/cv/FaceRecognition) | ✅ | | | -| 计算机视觉（CV） | 人脸识别（Face Recognition） |[FaceRecognitionForTracking](https://gitee.com/mindspore/models/tree/master/research/cv/FaceRecognitionForTracking) | ✅ | | | -| 计算机视觉（CV） | 人脸识别（Face Recognition） | [LightCNN](https://gitee.com/mindspore/models/tree/master/research/cv/LightCNN) | ✅ | | | -| 计算机视觉（CV） | 目标检测（Object Detection） | [Spnas](https://gitee.com/mindspore/models/tree/master/research/cv/Spnas) | ✅ | | | -| 计算机视觉（CV） | 目标检测（Object Detection） | [SSD-GhostNet](https://gitee.com/mindspore/models/tree/master/research/cv/ssd_ghostnet) | ✅ | | | -| 计算机视觉（CV） | 目标检测（Object Detection） | [EGNet](https://gitee.com/mindspore/models/tree/master/research/cv/EGNet) | ✅ | | | -| 计算机视觉（CV） | 目标检测（Object Detection） | [FasterRCNN-FPN-DCN](https://gitee.com/mindspore/models/tree/master/research/cv/faster_rcnn_dcn) | ✅ | | | -| 计算机视觉（CV） | 目标检测（Object Detection） | [NAS-FPN](https://gitee.com/mindspore/models/tree/master/research/cv/nas-fpn) | ✅ | | | -| 计算机视觉（CV） | 目标检测（Object Detection） | [RAS](https://gitee.com/mindspore/models/tree/master/research/cv/ras) | ✅ | | | -| 计算机视觉（CV） | 目标检测（Object Detection） | [r-cnn](https://gitee.com/mindspore/models/tree/master/research/cv/rcnn) | ✅ | | | -| 计算机视觉（CV） | 目标检测（Object Detection） | [RefineDet](https://gitee.com/mindspore/models/tree/master/research/cv/RefineDet) | ✅ | | | -| 计算机视觉（CV） | 目标检测（Object Detection） | [Res2net_fasterrcnn](https://gitee.com/mindspore/models/tree/master/research/cv/res2net_faster_rcnn) | ✅ | | | -| 计算机视觉（CV） | 目标检测（Object Detection） | [Res2net_yolov3](https://gitee.com/mindspore/models/tree/master/research/cv/res2net_yolov3) | ✅ | | | -| 计算机视觉（CV） | 目标检测（Object Detection） | [Retinanet_resnet101](https://gitee.com/mindspore/models/tree/master/research/cv/retinanet_resnet101) | ✅ | | | -| 计算机视觉（CV） | 目标检测（Object Detection） | [Retinanet_resnet152](https://gitee.com/mindspore/models/tree/master/research/cv/retinanet_resnet152) | ✅ | | | -| 计算机视觉（CV） | 目标检测（Object Detection） | [SSD_MobilenetV2_fpnlite](https://gitee.com/mindspore/models/tree/master/research/cv/ssd_mobilenetV2_FPNlite) | ✅ | | | -| 计算机视觉（CV） | 目标检测（Object Detection） | [ssd_mobilenet_v2](https://gitee.com/mindspore/models/tree/master/research/cv/ssd_mobilenetV2) | ✅ | | | -| 计算机视觉（CV） | 目标检测（Object Detection） | [ssd_resnet50](https://gitee.com/mindspore/models/tree/master/research/cv/ssd_resnet50) | ✅ | | | -| 计算机视觉（CV） | 目标检测（Object Detection） | [ssd_inceptionv2](https://gitee.com/mindspore/models/tree/master/research/cv/ssd_inception_v2) | ✅ | | | -| 计算机视觉（CV） | 目标检测（Object Detection） | [ssd_resnet34](https://gitee.com/mindspore/models/tree/master/research/cv/ssd_resnet34) | ✅ | | | -| 计算机视觉（CV） | 目标检测（Object Detection） | [U-2-Net](https://gitee.com/mindspore/models/tree/master/research/cv/u2net) | ✅ | | | -| 计算机视觉（CV） | 目标检测（Object Detection） | [YOLOV3-tiny](https://gitee.com/mindspore/models/tree/master/research/cv/yolov3_tiny) | ✅ | | | -| 计算机视觉（CV） | 目标跟踪（Object Tracking） |[SiamFC](https://gitee.com/mindspore/models/tree/master/research/cv/SiamFC) | ✅ | | | -| 计算机视觉（CV） | 目标跟踪（Object Tracking） |[SiamRPN](https://gitee.com/mindspore/models/tree/master/research/cv/SiamRPN) | ✅ | | | -| 计算机视觉（CV） | 目标跟踪（Object Tracking） |[FairMOT](https://gitee.com/mindspore/models/tree/master/research/cv/fairmot) | ✅ | | | -| 计算机视觉（CV） | 缺陷检测（Defect Detection） |[PathCore](https://gitee.com/mindspore/models/tree/master/research/cv/PathCore) | ✅ | | | -| 计算机视觉（CV） | 关键点检测（Key Point Detection） | [CenterNet](https://gitee.com/mindspore/models/tree/master/research/cv/centernet) | ✅ | | ✅ | -| 计算机视觉（CV） | 关键点检测（Key Point Detection） | [CenterNet-hourglass](https://gitee.com/mindspore/models/tree/master/research/cv/centernet_det) | ✅ | | | -| 计算机视觉（CV） | 关键点检测（Key Point Detection） | [CenterNet-resnet101](https://gitee.com/mindspore/models/tree/master/research/cv/centernet_resnet101) | ✅ | | | -| 计算机视觉（CV） | 关键点检测（Key Point Detection） | [CenterNet-resnet50](https://gitee.com/mindspore/models/tree/master/research/cv/centernet_resnet50_v1) | ✅ | | | -| 计算机视觉（CV） | 点云模型（Point Cloud Model） |[PointNet](https://gitee.com/mindspore/models/tree/master/research/cv/pointnet) | ✅ | | | -| 计算机视觉（CV） | 点云模型（Point Cloud Model） |[PointNet++](https://gitee.com/mindspore/models/tree/master/research/cv/pointnet2) | ✅ | | | -| 计算机视觉（CV） | 点云模型（Point Cloud Model） |[PointNet++](https://gitee.com/mindspore/models/tree/master/research/cv/pointnet2) | ✅ | | | -| 计算机视觉（CV） | 深度估计（Depth Estimation） | [midas](https://gitee.com/mindspore/models/tree/master/research/cv/midas) | ✅ | | | -| 计算机视觉（CV） | 序列图片分类（Sequential Image Classification） | [TCN](https://gitee.com/mindspore/models/tree/master/research/cv/TCN) | ✅ | | | -| 计算机视觉（CV） | 时空定位（Temporal Localization） | [TALL](https://gitee.com/mindspore/models/tree/master/research/cv/tall) | ✅ | | | -| 计算机视觉（CV） | 图像抠图（Image Matting） | [FCA-net](https://gitee.com/mindspore/models/tree/master/research/cv/FCANet) | ✅ | | | -| 计算机视觉（CV） | 视频分类（Video Classification） | [Attention Cluster](https://gitee.com/mindspore/models/tree/master/research/cv/AttentionCluster) | ✅ | | | -| 计算机视觉（CV） | 视频分类（Video Classification） | [ECO-lite](https://gitee.com/mindspore/models/tree/master/research/cv/ecolite) | ✅ | | | -| 计算机视觉（CV） | 视频分类（Video Classification） | [R(2+1)D](https://gitee.com/mindspore/models/tree/master/research/cv/r2plus1d) | ✅ | | | -| 计算机视觉（CV） | 视频分类（Video Classification） | [Resnet-3D](https://gitee.com/mindspore/models/tree/master/research/cv/resnet3d) | ✅ | | | -| 计算机视觉（CV） | 视频分类（Video Classification） | [StNet](https://gitee.com/mindspore/models/tree/master/research/cv/stnet) | ✅ | | | -| 计算机视觉（CV） | 视频分类（Video Classification） | [TSM](https://gitee.com/mindspore/models/tree/master/research/cv/tsm) | ✅ | | | -| 计算机视觉（CV） | 视频分类（Video Classification） | [TSN](https://gitee.com/mindspore/models/tree/master/research/cv/tsn) | ✅ | | | -| 计算机视觉（CV） | Zero-Shot Learnning | [DEM](https://gitee.com/mindspore/models/tree/master/research/cv/dem) | ✅ | | | -| 计算机视觉（CV） | 风格迁移（Style Transfer） |[AECRNET](https://gitee.com/mindspore/models/tree/master/research/cv/aecrnet) | ✅ | | | -| 计算机视觉（CV） | 风格迁移（Style Transfer） |[APDrawingGAN](https://gitee.com/mindspore/models/tree/master/research/cv/APDrawingGAN) | ✅ | | | -| 计算机视觉（CV） | 风格迁移（Style Transfer） |[Arbitrary-image-stylization](https://gitee.com/mindspore/models/tree/master/research/cv/ArbitraryStyleTransfer) | ✅ | | | -| 计算机视觉（CV） | 风格迁移（Style Transfer） |[AttGAN](https://gitee.com/mindspore/models/tree/master/research/cv/AttGAN) | ✅ | | | -| 计算机视觉（CV） | 风格迁移（Style Transfer） |[CycleGAN](https://gitee.com/mindspore/models/tree/master/research/cv/CycleGAN) | ✅ | | | -| 计算机视觉（CV） | 图像超分（Image Super-Resolution） |[CSD](https://gitee.com/mindspore/models/tree/master/research/cv/csd) | ✅ | | | -| 计算机视觉（CV） | 图像超分（Image Super-Resolution） |[DBPN](https://gitee.com/mindspore/models/tree/master/research/cv/DBPN) | ✅ | | | -| 计算机视觉（CV） | 图像超分（Image Super-Resolution） |[EDSR](https://gitee.com/mindspore/models/tree/master/research/cv/EDSR) | ✅ | | | -| 计算机视觉（CV） | 图像超分（Image Super-Resolution） |[esr-ea](https://gitee.com/mindspore/models/tree/master/research/cv/esr-ea) | ✅ | | | -| 计算机视觉（CV） | 图像超分（Image Super-Resolution） |[ESRGAN](https://gitee.com/mindspore/models/tree/master/research/cv/ESRGAN) | ✅ | | | -| 计算机视觉（CV） | 图像超分（Image Super-Resolution） |[IRN](https://gitee.com/mindspore/models/tree/master/research/cv/IRN) | ✅ | | | -| 计算机视觉（CV） | 图像超分（Image Super-Resolution） |[RCAN](https://gitee.com/mindspore/models/tree/master/research/cv/RCAN) | ✅ | | | -| 计算机视觉（CV） | 图像超分（Image Super-Resolution） |[RDN](https://gitee.com/mindspore/models/tree/master/research/cv/RDN) | ✅ | | | -| 计算机视觉（CV） | 图像超分（Image Super-Resolution） |[sr-ea](https://gitee.com/mindspore/models/tree/master/research/cv/sr-ea) | ✅ | | | -| 计算机视觉（CV） | 图像超分（Image Super-Resolution） |[SRGAN](https://gitee.com/mindspore/models/tree/master/research/cv/SRGAN) | ✅ | | | -| 计算机视觉（CV） | 图像超分（Image Super-Resolution） |[wdsr](https://gitee.com/mindspore/models/tree/master/research/cv/wdsr) | ✅ | | | -| 计算机视觉（CV） | 图像去噪（Image Denoising） |[Neighbor2Neighbor](https://gitee.com/mindspore/models/tree/master/research/cv/Neighbor2Neighbor) | ✅ | | | -| 计算机视觉（CV） | 图像生成（Image Generation） |[CGAN](https://gitee.com/mindspore/models/tree/master/research/cv/CGAN) | ✅ | | | -| 计算机视觉（CV） | 图像生成（Image Generation） |[DCGAN](https://gitee.com/mindspore/models/tree/master/research/cv/dcgan) | ✅ | | | -| 计算机视觉（CV） | 图像生成（Image Generation） |[GAN](https://gitee.com/mindspore/models/tree/master/research/cv/gan) | ✅ | | | -| 计算机视觉（CV） | 图像生成（Image Generation） |[IPT](https://gitee.com/mindspore/models/tree/master/research/cv/IPT) | ✅ | | | -| 计算机视觉（CV） | 图像生成（Image Generation） |[pgan](https://gitee.com/mindspore/models/tree/master/research/cv/PGAN) | ✅ | | | -| 计算机视觉（CV） | 图像生成（Image Generation） |[Photo2Cartoon](https://gitee.com/mindspore/models/tree/master/research/cv/U-GAT-IT) | ✅ | | | -| 计算机视觉（CV） | 图像生成（Image Generation） |[Pix2Pix](https://gitee.com/mindspore/models/tree/master/research/cv/Pix2Pix) | ✅ | | | -| 计算机视觉（CV） | 图像生成（Image Generation） |[SinGAN](https://gitee.com/mindspore/models/tree/master/research/cv/SinGAN) | ✅ | | | -| 计算机视觉（CV） | 图像生成（Image Generation） |[StarGAN](https://gitee.com/mindspore/models/tree/master/research/cv/StarGAN) | ✅ | | | -| 计算机视觉（CV） | 图像生成（Image Generation） |[STGAN](https://gitee.com/mindspore/models/tree/master/research/cv/STGAN) | ✅ | | | -| 计算机视觉（CV） | 图像生成（Image Generation） |[WGAN](https://gitee.com/mindspore/models/tree/master/research/cv/wgan) | ✅ | | | -| 计算机视觉（CV） | 文本检测（Scene Text Detection） | [AdvancedEast](https://gitee.com/mindspore/models/tree/master/research/cv/advanced_east) | ✅ | | | -| 计算机视觉（CV） | 文本检测（Scene Text Detection） | [TextFuseNet](https://gitee.com/mindspore/models/tree/master/research/cv/textfusenet) | ✅ | | | -| 计算机视觉（CV） | 文本识别（Scene Text Recognition） | [ManiDP](https://gitee.com/mindspore/models/tree/master/research/cv/ManiDP) | ✅ | | | -| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [3d-cnn](https://gitee.com/mindspore/models/tree/master/research/cv/3dcnn) | ✅ | | | -| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [adelaide_ea](https://gitee.com/mindspore/models/tree/master/research/cv/adelaide_ea) | ✅ | | | -| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [DDRNet](https://gitee.com/mindspore/models/tree/master/research/cv/DDRNet) | ✅ | | | -| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [E-Net](https://gitee.com/mindspore/models/tree/master/research/cv/E-NET) | ✅ | | | -| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [Hrnet](https://gitee.com/mindspore/models/tree/master/research/cv/HRNetW48_seg) | ✅ | | | -| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [ICNet](https://gitee.com/mindspore/models/tree/master/research/cv/ICNet) | ✅ | | | -| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [PSPnet](https://gitee.com/mindspore/models/tree/master/research/cv/PSPNet) | ✅ | | | -| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [RefineNet](https://gitee.com/mindspore/models/tree/master/research/cv/RefineNet) | ✅ | | | -| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [Res2net_deeplabv3](https://gitee.com/mindspore/models/tree/master/research/cv/res2net_deeplabv3) | ✅ | | | -| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [UNet 3+](https://gitee.com/mindspore/models/tree/master/research/cv/UNet3+) | ✅ | | | -| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [V-net](https://gitee.com/mindspore/models/tree/master/research/cv/vnet) | ✅ | | | -| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [Autodeeplab](https://gitee.com/mindspore/models/tree/master/research/cv/Auto-DeepLab) | ✅ | | | -| 计算机视觉（CV） | 姿态估计（Pose Estimation） | [AlphaPose](https://gitee.com/mindspore/models/tree/master/research/cv/AlphaPose) | ✅ | | | -| 计算机视觉（CV） | 姿态估计（Pose Estimation） | [Hourglass](https://gitee.com/mindspore/models/tree/master/research/cv/StackedHourglass) | ✅ | | | -| 计算机视觉（CV） | 姿态估计（Pose Estimation） | [Simple Baseline](https://gitee.com/mindspore/models/tree/master/research/cv/simple_baselines) | ✅ | | | -| 计算机视觉（CV） | 姿态检测（6DoF Pose Estimation） | [PVNet](https://gitee.com/mindspore/models/tree/master/research/cv/pvnet) | ✅ | | | -| 计算机视觉（CV） | 图像检索（Image Retrieval） |[Delf](https://gitee.com/mindspore/models/tree/master/research/cv/delf) | ✅ | | | -| 自然语言处理（NLP） | 词嵌入（Word Embedding） | [Word2Vec Skip-Gram](https://gitee.com/mindspore/models/tree/master/research/nlp/skipgram) | ✅ | | | -| 自然语言处理（NLP） | 对话系统（Dialogue Generation) | [DAM](https://gitee.com/mindspore/models/tree/master/research/nlp/dam) | ✅ | | | -| 自然语言处理（NLP） | 机器翻译（Machine Translation) | [Seq2Seq](https://gitee.com/mindspore/models/tree/master/research/nlp/seq2seq) | ✅ | | | -| 自然语言处理（NLP） | 情感分析（Emotion Classification) | [Senta](https://gitee.com/mindspore/models/tree/master/research/nlp/senta) | ✅ | | | -| 自然语言处理（NLP） | 情感分析（Emotion Classification) | [Attention LSTM](https://gitee.com/mindspore/models/tree/master/research/nlp/atae_lstm) | ✅ | | | -| 自然语言处理（NLP） | 命名实体识别（Named Entity Recognition) | [LSTM_CRF](https://gitee.com/mindspore/models/tree/master/research/nlp/lstm) | ✅ | | | -| 自然语言处理（NLP） | 文本分类（Text Classification) | [HyperText](https://gitee.com/mindspore/models/tree/master/research/nlp/hypertext) | ✅ | | | -| 自然语言处理（NLP） | 文本分类（Text Classification) | [TextRCNN](https://gitee.com/mindspore/models/tree/master/research/nlp/textrcnn) | ✅ | | | -| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [ALBert](https://gitee.com/mindspore/models/tree/master/research/nlp/albert) | ✅ | | | -| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [KT-Net](https://gitee.com/mindspore/models/tree/master/research/nlp/ktnet) | ✅ | | | -| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [LUKE](https://gitee.com/mindspore/models/tree/master/research/nlp/luke) | ✅ | | | -| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [DS-CNN](https://gitee.com/mindspore/models/tree/master/research/nlp/dscnn) | ✅ | | | -| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [TextRCNN](https://gitee.com/mindspore/models/tree/master/research/nlp/textrcnn) | ✅ | | | -| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [TPRR](https://gitee.com/mindspore/models/tree/master/research/nlp/tprr) | ✅ | | | -| 自然语言处理（NLP） | 知识图谱嵌入（Knowledge Graph Embedding） | [RotatE](https://gitee.com/mindspore/models/tree/master/research/nlp/rotate) | ✅ | | | -| 推荐（Recommender） | 推荐系统、点击率预估（Recommender System, CTR prediction） | [AutoDis](https://gitee.com/mindspore/models/tree/master/research/recommend/autodis) | ✅ | | | -| 推荐（Recommender） | 推荐系统、点击率预估（Recommender System, CTR prediction） | [DeepFFM](https://gitee.com/mindspore/models/tree/master/research/recommend/Fat-DeepFFM) | ✅ | | | -| 推荐（Recommender） | 推荐系统、点击率预估（Recommender System, CTR prediction） | [DIEN](https://gitee.com/mindspore/models/tree/master/research/recommend/DIEN) | ✅ | | | -| 推荐（Recommender） | 推荐系统、点击率预估（Recommender System, CTR prediction） | [DLRM](https://gitee.com/mindspore/models/tree/master/research/recommend/dlrm) | ✅ | | | -| 推荐（Recommender） | 推荐系统、点击率预估（Recommender System, CTR prediction） | [EDCN](https://gitee.com/mindspore/models/tree/master/research/recommend/EDCN) | ✅ | | | -| 推荐（Recommender） | 推荐系统、点击率预估（Recommender System, CTR prediction） | [MMOE](https://gitee.com/mindspore/models/tree/master/research/recommend/mmoe) | ✅ | | | -|语音（Audio） | 音频标注（Audio Tagging） | [FCN-4](https://gitee.com/mindspore/models/tree/master/research/audio/fcn-4) | ✅ | | | -|语音（Audio） | 关键词识别（Keyword Spotting） | [DS-CNN](https://gitee.com/mindspore/models/tree/master/research/audio/dscnn) | ✅ | | | -|语音（Audio） | 语音识别（Speech Recognition） | [CTCModel](https://gitee.com/mindspore/models/tree/master/research/audio/ctcmodel) | ✅ | | | -|语音（Audio） | 语音合成（Speech Synthesis） | [Wavenet](https://gitee.com/mindspore/models/tree/master/research/audio/wavenet) | ✅ | | | -| 图神经网络（GNN） | 交通预测（Traffic Prediction) | [STGCN](https://gitee.com/mindspore/models/tree/master/research/cv/STGCN) | ✅ | | | -| 图神经网络（GNN） | 交通预测（Traffic Prediction) | [TGCN](https://gitee.com/mindspore/models/tree/master/research/cv/tgcn) | ✅ | | | -| 图神经网络（GNN） | 社交信息网络（Social and Information Networks） | [SGCN](https://gitee.com/mindspore/models/tree/master/research/gnn/sgcn) | ✅ | | | -| 图神经网络（GNN） | 图结构数据分类（Graph Classification） | [DGCN](https://gitee.com/mindspore/models/tree/master/research/gnn/dgcn) | ✅ | | | -| 图神经网络（GNN） | 图结构数据分类（Graph Classification） | [SDNE](https://gitee.com/mindspore/models/tree/master/research/gnn/sdne) | ✅ | | | -|高性能计算（HPC） | 分子动力学（Molecular Dynamics） | [DeepPotentialH2O](https://gitee.com/mindspore/models/tree/master/research/hpc/molecular_dynamics) | ✅ | | | -|高性能计算（HPC） | 海洋模型（Ocean Model） | [GOMO](https://gitee.com/mindspore/models/tree/master/research/hpc/ocean_model) | | ✅ | | - -- [社区](https://gitee.com/mindspore/models/tree/master/community) +| 计算机视觉（CV） | 图像分类（Image Classification） |[3D Densenet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/3D_DenseNet) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[Auto Augment](https://gitee.com/mindspore/models/tree/r1.6/research/cv/autoaugment) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[AVA](https://gitee.com/mindspore/models/tree/r1.6/research/cv/AVA_cifar) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[CCT](https://gitee.com/mindspore/models/tree/r1.6/research/cv/cct) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[dnet-nas](https://gitee.com/mindspore/models/tree/r1.6/research/cv/dnet_nas) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[Efficientnet-b0](https://gitee.com/mindspore/models/tree/r1.6/research/cv/efficientnet-b0) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[Efficientnet-b1](https://gitee.com/mindspore/models/tree/r1.6/research/cv/efficientnet-b1) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[Efficientnet-b2](https://gitee.com/mindspore/models/tree/r1.6/research/cv/efficientnet-b2) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[Efficientnet-b3](https://gitee.com/mindspore/models/tree/r1.6/research/cv/efficientnet-b3) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[FDA-BNN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/FDA-BNN) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[fishnet99](https://gitee.com/mindspore/models/tree/r1.6/research/cv/fishnet99) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[GENET](https://gitee.com/mindspore/models/tree/r1.6/research/cv/GENet_Res50) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[GhostNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/ghostnet) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[Glore_res200](https://gitee.com/mindspore/models/tree/r1.6/research/cv/glore_res200) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[Glore_res50](https://gitee.com/mindspore/models/tree/r1.6/research/cv/glore_res50) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[HarDNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/hardnet) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[HourNAS](https://gitee.com/mindspore/models/tree/r1.6/research/cv/HourNAS) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[HRNetW48-cls](https://gitee.com/mindspore/models/tree/r1.6/research/cv/HRNetW48_cls) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[ibn-net](https://gitee.com/mindspore/models/tree/r1.6/research/cv/ibnnet) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[Inception ResNet V2](https://gitee.com/mindspore/models/tree/r1.6/research/cv/inception_resnet_v2) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[Resnetv2_50_frn](https://gitee.com/mindspore/models/tree/r1.6/research/cv/resnetv2_50_frn) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[META-Baseline](https://gitee.com/mindspore/models/tree/r1.6/research/cv/meta-baseline) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[MNasNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/mnasnet) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[MobilenetV3-Large](https://gitee.com/mindspore/models/tree/r1.6/research/cv/mobilenetv3_large) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[MobilenetV3-Small](https://gitee.com/mindspore/models/tree/r1.6/research/cv/mobilenetV3_small_x1_0) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[NFNet-F0](https://gitee.com/mindspore/models/tree/r1.6/research/cv/NFNet) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[ntsnet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/ntsnet) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[Pdarts](https://gitee.com/mindspore/models/tree/r1.6/research/cv/PDarts) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[PNASNet-5](https://gitee.com/mindspore/models/tree/r1.6/research/cv/pnasnet) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[ProtoNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/ProtoNet) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[Proxylessnas](https://gitee.com/mindspore/models/tree/r1.6/research/cv/proxylessnas) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[RelationNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/relationnet) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[renas](https://gitee.com/mindspore/models/tree/r1.6/research/cv/renas) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[Res2net](https://gitee.com/mindspore/models/tree/r1.6/research/cv/res2net) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[ResNeSt-50](https://gitee.com/mindspore/models/tree/r1.6/research/cv/ResNeSt50) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[ResNet50-BAM](https://gitee.com/mindspore/models/tree/r1.6/research/cv/resnet50_bam) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[ResNet50-quadruplet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/metric_learn) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[ResNet50-triplet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/metric_learn) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[ResNetV2](https://gitee.com/mindspore/models/tree/r1.6/research/cv/metric_learn) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[ResNeXt152_vd_64x4d](https://gitee.com/mindspore/models/tree/r1.6/research/cv/resnext152_64x4d) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[SE-Net](https://gitee.com/mindspore/models/tree/r1.6/research/cv/SE-Net) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[SERes2Net50](https://gitee.com/mindspore/models/tree/r1.6/research/cv/res2net) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[SinglePathNas](https://gitee.com/mindspore/models/tree/r1.6/research/cv/single_path_nas) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[SKNet-50](https://gitee.com/mindspore/models/tree/r1.6/research/cv/sknet) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[SPPNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/SPPNet) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[SqueezeNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/squeezenet) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[SqueezeNet1_1](https://gitee.com/mindspore/models/tree/r1.6/research/cv/squeezenet) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[Swin Transformer](https://gitee.com/mindspore/models/tree/r1.6/research/cv/swin_transformer) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[TNT](https://gitee.com/mindspore/models/tree/r1.6/research/cv/TNT) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[VGG19](https://gitee.com/mindspore/models/tree/r1.6/research/cv/vgg19) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[Vit-Base](https://gitee.com/mindspore/models/tree/r1.6/research/cv/vit_base) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[Wide ResNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/wideresnet) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[FaceAttributes](https://gitee.com/mindspore/models/tree/r1.6/research/cv/FaceAttribute) | ✅ | | | +| 计算机视觉（CV） | 图像分类（Image Classification） |[FaceQualityAssessment](https://gitee.com/mindspore/models/tree/r1.6/research/cv/FaceQualityAssessment) | ✅ | | | +| 计算机视觉（CV） | 重识别（Re-Identification） |[Aligned-ReID](https://gitee.com/mindspore/models/tree/r1.6/research/cv/AlignedReID) | ✅ | | | +| 计算机视觉（CV） | 重识别（Re-Identification） |[DDAG](https://gitee.com/mindspore/models/tree/r1.6/research/cv/DDAG) | ✅ | | | +| 计算机视觉（CV） | 重识别（Re-Identification） |[MVD](https://gitee.com/mindspore/models/tree/r1.6/research/cv/MVD) | ✅ | | | +| 计算机视觉（CV） | 重识别（Re-Identification） |[OSNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/osnet) | ✅ | | | +| 计算机视觉（CV） | 重识别（Re-Identification） |[PAMTRI](https://gitee.com/mindspore/models/tree/r1.6/research/cv/PAMTRI) | ✅ | | | +| 计算机视觉（CV） | 重识别（Re-Identification） |[VehicleNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/VehicleNet) | ✅ | | | +| 计算机视觉（CV） | 人脸检测（Face Detection） | [FaceDetection](https://gitee.com/mindspore/models/tree/r1.6/research/cv/FaceDetection) | ✅ | | | +| 计算机视觉（CV） | 人脸检测（Face Detection） | [FaceBoxes](https://gitee.com/mindspore/models/tree/r1.6/research/cv/faceboxes) | ✅ | | | +| 计算机视觉（CV） | 人脸检测（Face Detection） | [RetinaFace](https://gitee.com/mindspore/models/tree/r1.6/research/cv/retinaface) | ✅ | | | +| 计算机视觉（CV） | 人脸识别（Face Recognition） | [Arcface](https://gitee.com/mindspore/models/tree/r1.6/research/cv/arcface) | ✅ | | | +| 计算机视觉（CV） | 人脸识别（Face Recognition） | [DeepID](https://gitee.com/mindspore/models/tree/r1.6/research/cv/DeepID) | ✅ | | | +| 计算机视觉（CV） | 人脸识别（Face Recognition） |[FaceRecognition](https://gitee.com/mindspore/models/tree/r1.6/research/cv/FaceRecognition) | ✅ | | | +| 计算机视觉（CV） | 人脸识别（Face Recognition） |[FaceRecognitionForTracking](https://gitee.com/mindspore/models/tree/r1.6/research/cv/FaceRecognitionForTracking) | ✅ | | | +| 计算机视觉（CV） | 人脸识别（Face Recognition） | [LightCNN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/LightCNN) | ✅ | | | +| 计算机视觉（CV） | 目标检测（Object Detection） | [Spnas](https://gitee.com/mindspore/models/tree/r1.6/research/cv/Spnas) | ✅ | | | +| 计算机视觉（CV） | 目标检测（Object Detection） | [SSD-GhostNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/ssd_ghostnet) | ✅ | | | +| 计算机视觉（CV） | 目标检测（Object Detection） | [EGNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/EGnet) | ✅ | | | +| 计算机视觉（CV） | 目标检测（Object Detection） | [FasterRCNN-FPN-DCN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/faster_rcnn_dcn) | ✅ | | | +| 计算机视觉（CV） | 目标检测（Object Detection） | [NAS-FPN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/nas-fpn) | ✅ | | | +| 计算机视觉（CV） | 目标检测（Object Detection） | [RAS](https://gitee.com/mindspore/models/tree/r1.6/research/cv/ras) | ✅ | | | +| 计算机视觉（CV） | 目标检测（Object Detection） | [r-cnn](https://gitee.com/mindspore/models/tree/r1.6/research/cv/rcnn) | ✅ | | | +| 计算机视觉（CV） | 目标检测（Object Detection） | [RefineDet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/RefineDet) | ✅ | | | +| 计算机视觉（CV） | 目标检测（Object Detection） | [Res2net_fasterrcnn](https://gitee.com/mindspore/models/tree/r1.6/research/cv/res2net_faster_rcnn) | ✅ | | | +| 计算机视觉（CV） | 目标检测（Object Detection） | [Res2net_yolov3](https://gitee.com/mindspore/models/tree/r1.6/research/cv/res2net_yolov3) | ✅ | | | +| 计算机视觉（CV） | 目标检测（Object Detection） | [Retinanet_resnet101](https://gitee.com/mindspore/models/tree/r1.6/research/cv/retinanet_resnet101) | ✅ | | | +| 计算机视觉（CV） | 目标检测（Object Detection） | [Retinanet_resnet152](https://gitee.com/mindspore/models/tree/r1.6/research/cv/retinanet_resnet152) | ✅ | | | +| 计算机视觉（CV） | 目标检测（Object Detection） | [SSD_MobilenetV2_fpnlite](https://gitee.com/mindspore/models/tree/r1.6/research/cv/ssd_mobilenetV2_FPNlite) | ✅ | | | +| 计算机视觉（CV） | 目标检测（Object Detection） | [ssd_mobilenet_v2](https://gitee.com/mindspore/models/tree/r1.6/research/cv/ssd_mobilenetV2) | ✅ | | | +| 计算机视觉（CV） | 目标检测（Object Detection） | [ssd_resnet50](https://gitee.com/mindspore/models/tree/r1.6/research/cv/ssd_resnet50) | ✅ | | | +| 计算机视觉（CV） | 目标检测（Object Detection） | [ssd_inceptionv2](https://gitee.com/mindspore/models/tree/r1.6/research/cv/ssd_inception_v2) | ✅ | | | +| 计算机视觉（CV） | 目标检测（Object Detection） | [ssd_resnet34](https://gitee.com/mindspore/models/tree/r1.6/research/cv/ssd_resnet34) | ✅ | | | +| 计算机视觉（CV） | 目标检测（Object Detection） | [U-2-Net](https://gitee.com/mindspore/models/tree/r1.6/research/cv/u2net) | ✅ | | | +| 计算机视觉（CV） | 目标检测（Object Detection） | [YOLOV3-tiny](https://gitee.com/mindspore/models/tree/r1.6/research/cv/yolov3_tiny) | ✅ | | | +| 计算机视觉（CV） | 目标跟踪（Object Tracking） |[SiamFC](https://gitee.com/mindspore/models/tree/r1.6/research/cv/SiamFC) | ✅ | | | +| 计算机视觉（CV） | 目标跟踪（Object Tracking） |[SiamRPN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/siamRPN) | ✅ | | | +| 计算机视觉（CV） | 目标跟踪（Object Tracking） |[FairMOT](https://gitee.com/mindspore/models/tree/r1.6/research/cv/fairmot) | ✅ | | | +| 计算机视觉（CV） | 关键点检测（Key Point Detection） | [CenterNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/centernet) | ✅ | | ✅ | +| 计算机视觉（CV） | 关键点检测（Key Point Detection） | [CenterNet-hourglass](https://gitee.com/mindspore/models/tree/r1.6/research/cv/centernet_det) | ✅ | | | +| 计算机视觉（CV） | 关键点检测（Key Point Detection） | [CenterNet-resnet101](https://gitee.com/mindspore/models/tree/r1.6/research/cv/centernet_resnet101) | ✅ | | | +| 计算机视觉（CV） | 关键点检测（Key Point Detection） | [CenterNet-resnet50](https://gitee.com/mindspore/models/tree/r1.6/research/cv/centernet_resnet50_v1) | ✅ | | | +| 计算机视觉（CV） | 点云模型（Point Cloud Model） |[PointNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/pointnet) | ✅ | | | +| 计算机视觉（CV） | 点云模型（Point Cloud Model） |[PointNet++](https://gitee.com/mindspore/models/tree/r1.6/research/cv/pointnet2) | ✅ | | | +| 计算机视觉（CV） | 点云模型（Point Cloud Model） |[PointNet++](https://gitee.com/mindspore/models/tree/r1.6/research/cv/pointnet2) | ✅ | | | +| 计算机视觉（CV） | 深度估计（Depth Estimation） | [midas](https://gitee.com/mindspore/models/tree/r1.6/research/cv/midas) | ✅ | | | +| 计算机视觉（CV） | 序列图片分类（Sequential Image Classification） | [TCN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/TCN) | ✅ | | | +| 计算机视觉（CV） | 时空定位（Temporal Localization） | [TALL](https://gitee.com/mindspore/models/tree/r1.6/research/cv/tall) | ✅ | | | +| 计算机视觉（CV） | 图像抠图（Image Matting） | [FCA-net](https://gitee.com/mindspore/models/tree/r1.6/research/cv/FCANet) | ✅ | | | +| 计算机视觉（CV） | 视频分类（Video Classification） | [Attention Cluster](https://gitee.com/mindspore/models/tree/r1.6/research/cv/AttentionCluster) | ✅ | | | +| 计算机视觉（CV） | 视频分类（Video Classification） | [ECO-lite](https://gitee.com/mindspore/models/tree/r1.6/research/cv/ecolite) | ✅ | | | +| 计算机视觉（CV） | 视频分类（Video Classification） | [R(2+1)D](https://gitee.com/mindspore/models/tree/r1.6/research/cv/r2plus1d) | ✅ | | | +| 计算机视觉（CV） | 视频分类（Video Classification） | [Resnet-3D](https://gitee.com/mindspore/models/tree/r1.6/research/cv/resnet3d) | ✅ | | | +| 计算机视觉（CV） | 视频分类（Video Classification） | [StNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/stnet) | ✅ | | | +| 计算机视觉（CV） | 视频分类（Video Classification） | [TSM](https://gitee.com/mindspore/models/tree/r1.6/research/cv/tsm) | ✅ | | | +| 计算机视觉（CV） | 视频分类（Video Classification） | [TSN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/tsn) | ✅ | | | +| 计算机视觉（CV） | Zero-Shot Learnning | [DEM](https://gitee.com/mindspore/models/tree/r1.6/research/cv/dem) | ✅ | | | +| 计算机视觉（CV） | 风格迁移（Style Transfer） |[AECRNET](https://gitee.com/mindspore/models/tree/r1.6/research/cv/aecrnet) | ✅ | | | +| 计算机视觉（CV） | 风格迁移（Style Transfer） |[APDrawingGAN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/APDrawingGAN) | ✅ | | | +| 计算机视觉（CV） | 风格迁移（Style Transfer） |[Arbitrary-image-stylization](https://gitee.com/mindspore/models/tree/r1.6/research/cv/ArbitraryStyleTransfer) | ✅ | | | +| 计算机视觉（CV） | 风格迁移（Style Transfer） |[AttGAN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/AttGAN) | ✅ | | | +| 计算机视觉（CV） | 风格迁移（Style Transfer） |[CycleGAN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/CycleGAN) | ✅ | | | +| 计算机视觉（CV） | 图像超分（Image Super-Resolution） |[CSD](https://gitee.com/mindspore/models/tree/r1.6/research/cv/csd) | ✅ | | | +| 计算机视觉（CV） | 图像超分（Image Super-Resolution） |[DBPN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/DBPN) | ✅ | | | +| 计算机视觉（CV） | 图像超分（Image Super-Resolution） |[EDSR](https://gitee.com/mindspore/models/tree/r1.6/research/cv/EDSR) | ✅ | | | +| 计算机视觉（CV） | 图像超分（Image Super-Resolution） |[esr-ea](https://gitee.com/mindspore/models/tree/r1.6/research/cv/esr_ea) | ✅ | | | +| 计算机视觉（CV） | 图像超分（Image Super-Resolution） |[ESRGAN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/ESRGAN) | ✅ | | | +| 计算机视觉（CV） | 图像超分（Image Super-Resolution） |[IRN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/IRN) | ✅ | | | +| 计算机视觉（CV） | 图像超分（Image Super-Resolution） |[RCAN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/RCAN) | ✅ | | | +| 计算机视觉（CV） | 图像超分（Image Super-Resolution） |[sr-ea](https://gitee.com/mindspore/models/tree/r1.6/research/cv/sr_ea) | ✅ | | | +| 计算机视觉（CV） | 图像超分（Image Super-Resolution） |[SRGAN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/SRGAN) | ✅ | | | +| 计算机视觉（CV） | 图像超分（Image Super-Resolution） |[wdsr](https://gitee.com/mindspore/models/tree/r1.6/research/cv/wdsr) | ✅ | | | +| 计算机视觉（CV） | 图像去噪（Image Denoising） |[Neighbor2Neighbor](https://gitee.com/mindspore/models/tree/r1.6/research/cv/Neighbor2Neighbor) | ✅ | | | +| 计算机视觉（CV） | 图像生成（Image Generation） |[CGAN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/CGAN) | ✅ | | | +| 计算机视觉（CV） | 图像生成（Image Generation） |[DCGAN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/dcgan) | ✅ | | | +| 计算机视觉（CV） | 图像生成（Image Generation） |[GAN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/gan) | ✅ | | | +| 计算机视觉（CV） | 图像生成（Image Generation） |[IPT](https://gitee.com/mindspore/models/tree/r1.6/research/cv/IPT) | ✅ | | | +| 计算机视觉（CV） | 图像生成（Image Generation） |[pgan](https://gitee.com/mindspore/models/tree/r1.6/research/cv/PGAN) | ✅ | | | +| 计算机视觉（CV） | 图像生成（Image Generation） |[Photo2Cartoon](https://gitee.com/mindspore/models/tree/r1.6/research/cv/U-GAT-IT) | ✅ | | | +| 计算机视觉（CV） | 图像生成（Image Generation） |[Pix2Pix](https://gitee.com/mindspore/models/tree/r1.6/research/cv/Pix2Pix) | ✅ | | | +| 计算机视觉（CV） | 图像生成（Image Generation） |[SinGAN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/SinGAN) | ✅ | | | +| 计算机视觉（CV） | 图像生成（Image Generation） |[StarGAN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/StarGAN) | ✅ | | | +| 计算机视觉（CV） | 图像生成（Image Generation） |[STGAN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/STGAN) | ✅ | | | +| 计算机视觉（CV） | 图像生成（Image Generation） |[WGAN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/wgan) | ✅ | | | +| 计算机视觉（CV） | 文本检测（Scene Text Detection） | [AdvancedEast](https://gitee.com/mindspore/models/tree/r1.6/research/cv/advanced_east) | ✅ | | | +| 计算机视觉（CV） | 文本检测（Scene Text Detection） | [TextFuseNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/textfusenet) | ✅ | | | +| 计算机视觉（CV） | 文本识别（Scene Text Recognition） | [ManiDP](https://gitee.com/mindspore/models/tree/r1.6/research/cv/ManiDP) | ✅ | | | +| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [3d-cnn](https://gitee.com/mindspore/models/tree/r1.6/research/cv/3dcnn) | ✅ | | | +| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [adelaide_ea](https://gitee.com/mindspore/models/tree/r1.6/research/cv/adelaide_ea) | ✅ | | | +| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [DDRNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/DDRNet) | ✅ | | | +| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [E-Net](https://gitee.com/mindspore/models/tree/r1.6/research/cv/E-NET) | ✅ | | | +| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [Hrnet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/HRNetW48_seg) | ✅ | | | +| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [ICNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/ICNet) | ✅ | | | +| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [PSPnet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/PSPNet) | ✅ | | | +| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [RefineNet](https://gitee.com/mindspore/models/tree/r1.6/research/cv/RefineNet) | ✅ | | | +| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [Res2net_deeplabv3](https://gitee.com/mindspore/models/tree/r1.6/research/cv/res2net_deeplabv3) | ✅ | | | +| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [UNet 3+](https://gitee.com/mindspore/models/tree/r1.6/research/cv/UNet3+) | ✅ | | | +| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [V-net](https://gitee.com/mindspore/models/tree/r1.6/research/cv/vnet) | ✅ | | | +| 计算机视觉（CV） | 语义分割（Semantic Segmentation） | [Autodeeplab](https://gitee.com/mindspore/models/tree/r1.6/research/cv/Auto-DeepLab) | ✅ | | | +| 计算机视觉（CV） | 姿态估计（Pose Estimation） | [AlphaPose](https://gitee.com/mindspore/models/tree/r1.6/research/cv/AlphaPose) | ✅ | | | +| 计算机视觉（CV） | 姿态估计（Pose Estimation） | [Hourglass](https://gitee.com/mindspore/models/tree/r1.6/research/cv/StackedHourglass) | ✅ | | | +| 计算机视觉（CV） | 姿态估计（Pose Estimation） | [Simple Baseline](https://gitee.com/mindspore/models/tree/r1.6/research/cv/simple_baselines) | ✅ | | | +| 计算机视觉（CV） | 图像检索（Image Retrieval） |[Delf](https://gitee.com/mindspore/models/tree/r1.6/research/cv/delf) | ✅ | | | +| 自然语言处理（NLP） | 词嵌入（Word Embedding） | [Word2Vec Skip-Gram](https://gitee.com/mindspore/models/tree/r1.6/research/nlp/skipgram) | ✅ | | | +| 自然语言处理（NLP） | 对话系统（Dialogue Generation) | [DAM](https://gitee.com/mindspore/models/tree/r1.6/research/nlp/dam) | ✅ | | | +| 自然语言处理（NLP） | 机器翻译（Machine Translation) | [Seq2Seq](https://gitee.com/mindspore/models/tree/r1.6/research/nlp/seq2seq) | ✅ | | | +| 自然语言处理（NLP） | 情感分析（Emotion Classification) | [Senta](https://gitee.com/mindspore/models/tree/r1.6/research/nlp/senta) | ✅ | | | +| 自然语言处理（NLP） | 情感分析（Emotion Classification) | [Attention LSTM](https://gitee.com/mindspore/models/tree/r1.6/research/nlp/atae_lstm) | ✅ | | | +| 自然语言处理（NLP） | 命名实体识别（Named Entity Recognition) | [LSTM_CRF](https://gitee.com/mindspore/models/tree/r1.6/research/nlp/lstm_crf) | ✅ | | | +| 自然语言处理（NLP） | 文本分类（Text Classification) | [HyperText](https://gitee.com/mindspore/models/tree/r1.6/research/nlp/hypertext) | ✅ | | | +| 自然语言处理（NLP） | 文本分类（Text Classification) | [TextRCNN](https://gitee.com/mindspore/models/tree/r1.6/research/nlp/textrcnn) | ✅ | | | +| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [ALBert](https://gitee.com/mindspore/models/tree/r1.6/research/nlp/albert) | ✅ | | | +| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [KT-Net](https://gitee.com/mindspore/models/tree/r1.6/research/nlp/ktnet) | ✅ | | | +| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [LUKE](https://gitee.com/mindspore/models/tree/r1.6/research/nlp/luke) | ✅ | | | +| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [TextRCNN](https://gitee.com/mindspore/models/tree/r1.6/research/nlp/textrcnn) | ✅ | | | +| 自然语言处理（NLP） | 自然语言理解（Natural Language Understanding） | [TPRR](https://gitee.com/mindspore/models/tree/r1.6/research/nlp/tprr) | ✅ | | | +| 自然语言处理（NLP） | 知识图谱嵌入（Knowledge Graph Embedding） | [RotatE](https://gitee.com/mindspore/models/tree/r1.6/research/nlp/rotate) | ✅ | | | +| 推荐（Recommender） | 推荐系统、点击率预估（Recommender System, CTR prediction） | [AutoDis](https://gitee.com/mindspore/models/tree/r1.6/research/recommend/autodis) | ✅ | | | +| 推荐（Recommender） | 推荐系统、点击率预估（Recommender System, CTR prediction） | [DeepFFM](https://gitee.com/mindspore/models/tree/r1.6/research/recommend/Fat-DeepFFM) | ✅ | | | +| 推荐（Recommender） | 推荐系统、点击率预估（Recommender System, CTR prediction） | [DIEN](https://gitee.com/mindspore/models/tree/r1.6/research/recommend/DIEN) | ✅ | | | +| 推荐（Recommender） | 推荐系统、点击率预估（Recommender System, CTR prediction） | [DLRM](https://gitee.com/mindspore/models/tree/r1.6/research/recommend/dlrm) | ✅ | | | +| 推荐（Recommender） | 推荐系统、点击率预估（Recommender System, CTR prediction） | [EDCN](https://gitee.com/mindspore/models/tree/r1.6/research/recommend/EDCN) | ✅ | | | +| 推荐（Recommender） | 推荐系统、点击率预估（Recommender System, CTR prediction） | [MMOE](https://gitee.com/mindspore/models/tree/r1.6/research/recommend/mmoe) | ✅ | | | +|语音（Audio） | 音频标注（Audio Tagging） | [FCN-4](https://gitee.com/mindspore/models/tree/r1.6/research/audio/fcn-4) | ✅ | | | +|语音（Audio） | 关键词识别（Keyword Spotting） | [DS-CNN](https://gitee.com/mindspore/models/tree/r1.6/research/audio/dscnn) | ✅ | | | +|语音（Audio） | 语音识别（Speech Recognition） | [CTCModel](https://gitee.com/mindspore/models/tree/r1.6/research/audio/ctcmodel) | ✅ | | | +|语音（Audio） | 语音合成（Speech Synthesis） | [Wavenet](https://gitee.com/mindspore/models/tree/r1.6/research/audio/wavenet) | ✅ | | | +| 图神经网络（GNN） | 交通预测（Traffic Prediction) | [STGCN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/stgcn) | ✅ | | | +| 图神经网络（GNN） | 交通预测（Traffic Prediction) | [TGCN](https://gitee.com/mindspore/models/tree/r1.6/research/cv/tgcn) | ✅ | | | +| 图神经网络（GNN） | 社交信息网络（Social and Information Networks） | [SGCN](https://gitee.com/mindspore/models/tree/r1.6/research/gnn/sgcn) | ✅ | | | +| 图神经网络（GNN） | 图结构数据分类（Graph Classification） | [DGCN](https://gitee.com/mindspore/models/tree/r1.6/research/gnn/dgcn) | ✅ | | | +| 图神经网络（GNN） | 图结构数据分类（Graph Classification） | [SDNE](https://gitee.com/mindspore/models/tree/r1.6/research/gnn/sdne) | ✅ | | | +|高性能计算（HPC） | 分子动力学（Molecular Dynamics） | [DeepPotentialH2O](https://gitee.com/mindspore/models/tree/r1.6/research/hpc/molecular_dynamics) | ✅ | | | +|高性能计算（HPC） | 海洋模型（Ocean Model） | [GOMO](https://gitee.com/mindspore/models/tree/r1.6/research/hpc/ocean_model) | | ✅ | | + +- [社区](https://gitee.com/mindspore/models/tree/r1.6/community) ## 公告 @@ -352,11 +351,11 @@ MindSpore已获得Apache 2.0许可，请参见LICENSE文件。 ## 许可证 -[Apache 2.0许可证](https://gitee.com/mindspore/mindspore/blob/master/LICENSE) +[Apache 2.0许可证](https://gitee.com/mindspore/mindspore/blob/r1.6/LICENSE) ## FAQ -想要获取更多关于`MindSpore`框架使用本身的FAQ问题的，可以参考[官网FAQ](https://www.mindspore.cn/docs/faq/zh-CN/master/index.html) +想要获取更多关于`MindSpore`框架使用本身的FAQ问题的，可以参考[官网FAQ](https://www.mindspore.cn/docs/faq/zh-CN/r1.6/index.html) - **Q: 直接使用models下的模型出现内存不足错误，例如*Failed to alloc memory pool memory*, 该怎么处理?** @@ -374,7 +373,7 @@ MindSpore已获得Apache 2.0许可，请参见LICENSE文件。 - **Q: 一些模型描述中提到的*RANK_TABLE_FILE*文件，是什么？** - **A**: *RANK_TABLE_FILE*是一个Ascend环境上用于指定分布式集群信息的文件，更多信息可以参考生成工具[hccl_toos](https://gitee.com/mindspore/models/tree/master/utils/hccl_tools)和[分布式并行训练教程](https://mindspore.cn/docs/programming_guide/zh-CN/r1.5/distributed_training_ascend.html#id4) + **A**: *RANK_TABLE_FILE*是一个Ascend环境上用于指定分布式集群信息的文件，更多信息可以参考生成工具[hccl_toos](https://gitee.com/mindspore/models/tree/r1.6/utils/hccl_tools)和[分布式并行训练教程](https://mindspore.cn/docs/programming_guide/zh-CN/r1.5/distributed_training_ascend.html#id4) - **Q: 在windows环境上要怎么运行网络脚本？** diff --git a/research/cv/csd/README.md b/research/cv/csd/README.md index 223e61f18e71fc93b85ccb7599710036ff408f93..715fe93a3c412b29688ec0089dda8babc58bb435 100644 --- a/research/cv/csd/README.md +++ b/research/cv/csd/README.md @@ -133,8 +133,8 @@ Major parameters in scripts as follows: ### Train CSD -[VGG19](https://gitee.com/mindspore/models/tree/ea6f2efda78921d02b4f4d8d40b6b329bfce08f3/research/cv/vgg19) pre-trained on ImageNet is used in our contrastive loss. -You could download the pre-trained model from [https://download.mindspore.cn/model_zoo/](https://download.mindspore.cn/model_zoo/) or train according to [VGG19](https://gitee.com/mindspore/models/tree/ea6f2efda78921d02b4f4d8d40b6b329bfce08f3/research/cv/vgg19) and place it in `./` . +[VGG19](https://gitee.com/mindspore/models/tree/r1.6/research/cv/vgg19) pre-trained on ImageNet is used in our contrastive loss. +You could download the pre-trained model from [https://download.mindspore.cn/model_zoo/](https://download.mindspore.cn/model_zoo/) or train according to [VGG19](https://gitee.com/mindspore/models/tree/r1.6/research/cv/vgg19) and place it in `./` . You should specify the VGG ckpt file in `[VGG_MODEL]`. Since we use the outputs of teacher model as the positive samples, it is necessary to pre-train the teacher model.