Kaggle Segmentation Challenge
Reproducible and fast DL & RL.
An Implementation of the seglink alogrithm in paper Detecting Oriented Text in Natural Images by Linking Segments
chinese characters recognition
Convolutional recurrent network in pytorch
[python3.6] 运用tf实现自然场景文字检测,keras/pytorch实现ctpn+crnn+ctc实现不定长场景文字OCR识别
FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)
Codes for our paper "CenterNet: Keypoint Triplets for Object Detection" .
A Keras implementation of CenterNet with pre-trained model (unofficial)
A PyTorch Implementation of Fast-SCNN: Fast Semantic Segmentation Network
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
Multiclass image segmentation in Keras
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
Files for a tutorial to train SegNet for road scenes using the CamVid dataset
Segmentation models with pretrained backbones. PyTorch.
Pytorch implementation of the U-Net for image semantic segmentation, with dense CRF post-processing
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.