# CVPR2020-Code
**Repository Path**: lc790/CVPR2020-Code
## Basic Information
- **Project Name**: CVPR2020-Code
- **Description**: CVPR 2020 论文开源项目合集
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No
## Statistics
- **Stars**: 2
- **Forks**: 0
- **Created**: 2020-06-23
- **Last Updated**: 2025-05-18
## Categories & Tags
**Categories**: Uncategorized
**Tags**: None
## README
# CVPR2020-Code
CVPR 2020 论文开源项目合集，同时欢迎各位大佬提交issue，分享CVPR 2020开源项目
关于往年CV顶会论文（如CVPR 2019、ICCV 2019、ECCV 2018）以及其他优质CV论文和大盘点，详见： https://github.com/amusi/daily-paper-computer-vision
- [CNN](#CNN)
- [图像分类](#Image-Classification)
- [目标检测](#Object-Detection)
- [3D目标检测](#3D-Object-Detection)
- [视频目标检测](#Video-Object-Detection)
- [目标跟踪](#Object-Tracking)
- [语义分割](#Semantic-Segmentation)
- [实例分割](#Instance-Segmentation)
- [全景分割](#Panoptic-Segmentation)
- [视频目标分割](#VOS)
- [超像素分割](#Superpixel)
- [NAS](#NAS)
- [GAN](#GAN)
- [Re-ID](#Re-ID)
- [3D点云（分类/分割/配准/跟踪等）](#3D-PointCloud)
- [人脸（识别/检测/重建等）](#Face)
- [人体姿态估计(2D/3D)](#Human-Pose-Estimation)
- [人体解析](#Human-Parsing)
- [场景文本检测](#Scene-Text-Detection)
- [场景文本识别](#Scene-Text-Recognition)
- [特征(点)检测和描述](#Feature)
- [超分辨率](#Super-Resolution)
- [模型压缩/剪枝](#Model-Compression)
- [视频理解/行为识别](#Action-Recognition)
- [人群计数](#Crowd-Counting)
- [深度估计](#Depth-Estimation)
- [6D目标姿态估计](#6DOF)
- [手势估计](#Hand-Pose)
- [显著性检测](#Saliency)
- [去噪](#Denoising)
- [去模糊](#Deblurring)
- [去雾](#Dehazing)
- [特征点检测与描述](#Feature)
- [视觉问答(VQA)](#VQA)
- [视频问答(VideoQA)](#VideoQA)
- [视觉语言导航](#VLN)
- [视频压缩](#Video-Compression)
- [视频插帧](#Video-Frame-Interpolation)
- [风格迁移](#Style-Transfer)
- [车道线检测](#Lane-Detection)
- ["人-物"交互(HOI)检测](#HOI)
- [轨迹预测](#TP)
- [运动预测](#Motion-Predication)
- [光流估计](#OF)
- [图像检索](#IR)
- [虚拟试衣](#Virtual-Try-On)
- [HDR](#HDR)
- [对抗样本](#AE)
- [三维重建](#3D-Reconstructing)
- [深度补全](#DC)
- [语义场景补全](#SSC)
- [图像/视频描述](#Captioning)
- [线框解析](#WP)
- [数据集](#Datasets)
- [其他](#Others)
- [不确定中没中](#Not-Sure)
# CNN
**Exploring Self-attention for Image Recognition**
- 论文：https://hszhao.github.io/papers/cvpr20_san.pdf
- 代码：https://github.com/hszhao/SAN
**Improving Convolutional Networks with Self-Calibrated Convolutions**
- 主页：https://mmcheng.net/scconv/
- 论文：http://mftp.mmcheng.net/Papers/20cvprSCNet.pdf
- 代码：https://github.com/backseason/SCNet
**Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets**
- 论文：https://arxiv.org/abs/2003.13549
- 代码：https://github.com/zeiss-microscopy/BSConv
# 图像分类
**Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion**
- 论文：https://arxiv.org/abs/2003.04490
- 代码：https://github.com/AdamKortylewski/CompositionalNets
**Spatially Attentive Output Layer for Image Classification**
- 论文：https://arxiv.org/abs/2004.07570
- 代码（好像被原作者删除了）：https://github.com/ildoonet/spatially-attentive-output-layer
# 目标检测
**Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax**
- 论文：http://openaccess.thecvf.com/content_CVPR_2020/papers/Li_Overcoming_Classifier_Imbalance_for_Long-Tail_Object_Detection_With_Balanced_Group_CVPR_2020_paper.pdf
- 代码：https://github.com/FishYuLi/BalancedGroupSoftmax
**AugFPN: Improving Multi-scale Feature Learning for Object Detection**
- 论文：http://openaccess.thecvf.com/content_CVPR_2020/papers/Guo_AugFPN_Improving_Multi-Scale_Feature_Learning_for_Object_Detection_CVPR_2020_paper.pdf
- 代码：https://github.com/Gus-Guo/AugFPN
**Noise-Aware Fully Webly Supervised Object Detection**
- 论文：http://openaccess.thecvf.com/content_CVPR_2020/html/Shen_Noise-Aware_Fully_Webly_Supervised_Object_Detection_CVPR_2020_paper.html
- 代码：https://github.com/shenyunhang/NA-fWebSOD/
**Learning a Unified Sample Weighting Network for Object Detection**
- 论文：https://arxiv.org/abs/2006.06568
- 代码：https://github.com/caiqi/sample-weighting-network
**D2Det: Towards High Quality Object Detection and Instance Segmentation**
- 论文：http://openaccess.thecvf.com/content_CVPR_2020/papers/Cao_D2Det_Towards_High_Quality_Object_Detection_and_Instance_Segmentation_CVPR_2020_paper.pdf
- 代码：https://github.com/JialeCao001/D2Det
**Dynamic Refinement Network for Oriented and Densely Packed Object Detection**
- 论文下载链接：https://arxiv.org/abs/2005.09973
- 代码和数据集：https://github.com/Anymake/DRN_CVPR2020
**Scale-Equalizing Pyramid Convolution for Object Detection**
论文：https://arxiv.org/abs/2005.03101
代码：https://github.com/jshilong/SEPC
**Revisiting the Sibling Head in Object Detector**
- 论文：https://arxiv.org/abs/2003.07540
- 代码：https://github.com/Sense-X/TSD
**Scale-equalizing Pyramid Convolution for Object Detection**
- 论文：暂无
- 代码：https://github.com/jshilong/SEPC
**Detection in Crowded Scenes: One Proposal, Multiple Predictions**
- 论文：https://arxiv.org/abs/2003.09163
- 代码：https://github.com/megvii-model/CrowdDetection
**Instance-aware, Context-focused, and Memory-efficient Weakly Supervised Object Detection**
- 论文：https://arxiv.org/abs/2004.04725
- 代码：https://github.com/NVlabs/wetectron
**Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection**
- 论文：https://arxiv.org/abs/1912.02424
- 代码：https://github.com/sfzhang15/ATSS
**BiDet: An Efficient Binarized Object Detector**
- 论文：https://arxiv.org/abs/2003.03961
- 代码：https://github.com/ZiweiWangTHU/BiDet
**Harmonizing Transferability and Discriminability for Adapting Object Detectors**
- 论文：https://arxiv.org/abs/2003.06297
- 代码：https://github.com/chaoqichen/HTCN
**CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection**
- 论文：https://arxiv.org/abs/2003.09119
- 代码：https://github.com/KiveeDong/CentripetalNet
**Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection**
- 论文：https://arxiv.org/abs/2003.11818
- 代码：https://github.com/ggjy/HitDet.pytorch
**EfficientDet: Scalable and Efficient Object Detection**
- 论文：https://arxiv.org/abs/1911.09070
- 代码：https://github.com/google/automl/tree/master/efficientdet
# 3D目标检测
**SESS: Self-Ensembling Semi-Supervised 3D Object Detection**
- 论文： https://arxiv.org/abs/1912.11803
- 代码：https://github.com/Na-Z/sess
**Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection**
- 论文： https://arxiv.org/abs/2006.04356
- 代码：https://github.com/dleam/Associate-3Ddet
**What You See is What You Get: Exploiting Visibility for 3D Object Detection**
- 主页：https://www.cs.cmu.edu/~peiyunh/wysiwyg/
- 论文：https://arxiv.org/abs/1912.04986
- 代码：https://github.com/peiyunh/wysiwyg
**Learning Depth-Guided Convolutions for Monocular 3D Object Detection**
- 论文：https://arxiv.org/abs/1912.04799
- 代码：https://github.com/dingmyu/D4LCN
**Structure Aware Single-stage 3D Object Detection from Point Cloud**
- 论文：http://openaccess.thecvf.com/content_CVPR_2020/html/He_Structure_Aware_Single-Stage_3D_Object_Detection_From_Point_Cloud_CVPR_2020_paper.html
- 代码：https://github.com/skyhehe123/SA-SSD
**IDA-3D: Instance-Depth-Aware 3D Object Detection from Stereo Vision for Autonomous Driving**
- 论文：http://openaccess.thecvf.com/content_CVPR_2020/papers/Peng_IDA-3D_Instance-Depth-Aware_3D_Object_Detection_From_Stereo_Vision_for_Autonomous_CVPR_2020_paper.pdf
- 代码：https://github.com/swords123/IDA-3D
**Train in Germany, Test in The USA: Making 3D Object Detectors Generalize**
- 论文：https://arxiv.org/abs/2005.08139
- 代码：https://github.com/cxy1997/3D_adapt_auto_driving
**MLCVNet: Multi-Level Context VoteNet for 3D Object Detection**
- 论文：https://arxiv.org/abs/2004.05679
- 代码：https://github.com/NUAAXQ/MLCVNet
**3DSSD: Point-based 3D Single Stage Object Detector**
- CVPR 2020 Oral
- 论文：https://arxiv.org/abs/2002.10187
- 代码：https://github.com/tomztyang/3DSSD
**Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation**
- 论文：https://arxiv.org/abs/2004.03572
- 代码：https://github.com/zju3dv/disprcn
**End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection**
- 论文：https://arxiv.org/abs/2004.03080
- 代码：https://github.com/mileyan/pseudo-LiDAR_e2e
**DSGN: Deep Stereo Geometry Network for 3D Object Detection**
- 论文：https://arxiv.org/abs/2001.03398
- 代码：https://github.com/chenyilun95/DSGN
**LiDAR-based Online 3D Video Object Detection with Graph-based Message Passing and Spatiotemporal Transformer Attention**
- 论文：https://arxiv.org/abs/2004.01389
- 代码：https://github.com/yinjunbo/3DVID
**PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection**
- 论文：https://arxiv.org/abs/1912.13192
- 代码：https://github.com/sshaoshuai/PV-RCNN
**Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud**
- 论文：https://arxiv.org/abs/2003.01251
- 代码：https://github.com/WeijingShi/Point-GNN
# 视频目标检测
**Memory Enhanced Global-Local Aggregation for Video Object Detection**
论文：https://arxiv.org/abs/2003.12063
代码：https://github.com/Scalsol/mega.pytorch
# 目标跟踪
**SiamCAR: Siamese Fully Convolutional Classification and Regression for Visual Tracking**
- 论文：https://arxiv.org/abs/1911.07241
- 代码：https://github.com/ohhhyeahhh/SiamCAR
**D3S -- A Discriminative Single Shot Segmentation Tracker**
- 论文：https://arxiv.org/abs/1911.08862
- 代码：https://github.com/alanlukezic/d3s
**ROAM: Recurrently Optimizing Tracking Model**
- 论文：https://arxiv.org/abs/1907.12006
- 代码：https://github.com/skyoung/ROAM
**Siam R-CNN: Visual Tracking by Re-Detection**
- 主页：https://www.vision.rwth-aachen.de/page/siamrcnn
- 论文：https://arxiv.org/abs/1911.12836
- 论文2：https://www.vision.rwth-aachen.de/media/papers/192/siamrcnn.pdf
- 代码：https://github.com/VisualComputingInstitute/SiamR-CNN
**Cooling-Shrinking Attack: Blinding the Tracker with Imperceptible Noises**
- 论文：https://arxiv.org/abs/2003.09595
- 代码：https://github.com/MasterBin-IIAU/CSA
**High-Performance Long-Term Tracking with Meta-Updater**
- 论文：https://arxiv.org/abs/2004.00305
- 代码：https://github.com/Daikenan/LTMU
**AutoTrack: Towards High-Performance Visual Tracking for UAV with Automatic Spatio-Temporal Regularization**
- 论文：https://arxiv.org/abs/2003.12949
- 代码：https://github.com/vision4robotics/AutoTrack
**Probabilistic Regression for Visual Tracking**
- 论文：https://arxiv.org/abs/2003.12565
- 代码：https://github.com/visionml/pytracking
**MAST: A Memory-Augmented Self-supervised Tracker**
- 论文：https://arxiv.org/abs/2002.07793
- 代码：https://github.com/zlai0/MAST
**Siamese Box Adaptive Network for Visual Tracking**
- 论文：https://arxiv.org/abs/2003.06761
- 代码：https://github.com/hqucv/siamban
## 多目标跟踪
**3D-ZeF: A 3D Zebrafish Tracking Benchmark Dataset**
- 主页：https://vap.aau.dk/3d-zef/
- 论文：https://arxiv.org/abs/2006.08466
- 代码：https://bitbucket.org/aauvap/3d-zef/src/master/
- 数据集：https://motchallenge.net/data/3D-ZeF20
# 语义分割
**Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation**
- 论文：暂无
- 代码：https://github.com/JianqiangWan/Super-BPD
**Single-Stage Semantic Segmentation from Image Labels**
- 论文：https://arxiv.org/abs/2005.08104
- 代码：https://github.com/visinf/1-stage-wseg
**Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation**
- 论文：https://arxiv.org/abs/2003.00867
- 代码：https://github.com/MyeongJin-Kim/Learning-Texture-Invariant-Representation
**MSeg: A Composite Dataset for Multi-domain Semantic Segmentation**
- 论文：http://vladlen.info/papers/MSeg.pdf
- 代码：https://github.com/mseg-dataset/mseg-api
**CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement**
- 论文：https://arxiv.org/abs/2005.02551
- 代码：https://github.com/hkchengrex/CascadePSP
**Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision**
- Oral
- 论文：https://arxiv.org/abs/2004.07703
- 代码：https://github.com/feipan664/IntraDA
**Self-supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation**
- 论文：https://arxiv.org/abs/2004.04581
- 代码：https://github.com/YudeWang/SEAM
**Temporally Distributed Networks for Fast Video Segmentation**
- 论文：https://arxiv.org/abs/2004.01800
- 代码：https://github.com/feinanshan/TDNet
**Context Prior for Scene Segmentation**
- 论文：https://arxiv.org/abs/2004.01547
- 代码：https://git.io/ContextPrior
**Strip Pooling: Rethinking Spatial Pooling for Scene Parsing**
- 论文：https://arxiv.org/abs/2003.13328
- 代码：https://github.com/Andrew-Qibin/SPNet
**Cars Can't Fly up in the Sky: Improving Urban-Scene Segmentation via Height-driven Attention Networks**
- 论文：https://arxiv.org/abs/2003.05128
- 代码：https://github.com/shachoi/HANet
**Learning Dynamic Routing for Semantic Segmentation**
- 论文：https://arxiv.org/abs/2003.10401
- 代码：https://github.com/yanwei-li/DynamicRouting
# 实例分割
**D2Det: Towards High Quality Object Detection and Instance Segmentation**
- 论文：http://openaccess.thecvf.com/content_CVPR_2020/papers/Cao_D2Det_Towards_High_Quality_Object_Detection_and_Instance_Segmentation_CVPR_2020_paper.pdf
- 代码：https://github.com/JialeCao001/D2Det
**PolarMask: Single Shot Instance Segmentation with Polar Representation**
- 论文：https://arxiv.org/abs/1909.13226
- 代码：https://github.com/xieenze/PolarMask
- 解读：https://zhuanlan.zhihu.com/p/84890413
**CenterMask : Real-Time Anchor-Free Instance Segmentation**
- 论文：https://arxiv.org/abs/1911.06667
- 代码：https://github.com/youngwanLEE/CenterMask
**BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation**
- 论文：https://arxiv.org/abs/2001.00309
- 代码：https://github.com/aim-uofa/AdelaiDet
**Deep Snake for Real-Time Instance Segmentation**
- 论文：https://arxiv.org/abs/2001.01629
- 代码：https://github.com/zju3dv/snake
**Mask Encoding for Single Shot Instance Segmentation**
- 论文：https://arxiv.org/abs/2003.11712
- 代码：https://github.com/aim-uofa/AdelaiDet
# 全景分割
**Pixel Consensus Voting for Panoptic Segmentation**
- 论文：https://arxiv.org/abs/2004.01849
- 代码：还未公布
**BANet: Bidirectional Aggregation Network with Occlusion Handling for Panoptic Segmentation**
论文：https://arxiv.org/abs/2003.14031
代码：https://github.com/Mooonside/BANet
# 视频目标分割
**A Transductive Approach for Video Object Segmentation**
- 论文：https://arxiv.org/abs/2004.07193
- 代码：https://github.com/microsoft/transductive-vos.pytorch
**State-Aware Tracker for Real-Time Video Object Segmentation**
- 论文：https://arxiv.org/abs/2003.00482
- 代码：https://github.com/MegviiDetection/video_analyst
**Learning Fast and Robust Target Models for Video Object Segmentation**
- 论文：https://arxiv.org/abs/2003.00908
- 代码：https://github.com/andr345/frtm-vos
**Learning Video Object Segmentation from Unlabeled Videos**
- 论文：https://arxiv.org/abs/2003.05020
- 代码：https://github.com/carrierlxk/MuG
# 超像素分割
**Superpixel Segmentation with Fully Convolutional Networks**
- 论文：https://arxiv.org/abs/2003.12929
- 代码：https://github.com/fuy34/superpixel_fcn
# NAS
**AOWS: Adaptive and optimal network width search with latency constraints**
- 论文：https://arxiv.org/abs/2005.10481
- 代码：https://github.com/bermanmaxim/AOWS
**Densely Connected Search Space for More Flexible Neural Architecture Search**
- 论文：https://arxiv.org/abs/1906.09607
- 代码：https://github.com/JaminFong/DenseNAS
**MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning**
- 论文：https://arxiv.org/abs/2003.14058
- 代码：https://github.com/bhpfelix/MTLNAS
**FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions**
- 论文下载链接：https://arxiv.org/abs/2004.05565
- 代码：https://github.com/facebookresearch/mobile-vision
**Neural Architecture Search for Lightweight Non-Local Networks**
- 论文：https://arxiv.org/abs/2004.01961
- 代码：https://github.com/LiYingwei/AutoNL
**Rethinking Performance Estimation in Neural Architecture Search**
- 论文：https://arxiv.org/abs/2005.09917
- 代码：https://github.com/zhengxiawu/rethinking_performance_estimation_in_NAS
- 解读1：https://www.zhihu.com/question/372070853/answer/1035234510
- 解读2：https://zhuanlan.zhihu.com/p/111167409
**CARS: Continuous Evolution for Efficient Neural Architecture Search**
- 论文：https://arxiv.org/abs/1909.04977
- 代码（即将开源）：https://github.com/huawei-noah/CARS
# GAN
**Distribution-induced Bidirectional Generative Adversarial Network for Graph Representation Learning**
- 论文：https://arxiv.org/abs/1912.01899
- 代码：https://github.com/SsGood/DBGAN
**PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer**
- 论文：https://arxiv.org/abs/1909.06956
- 代码：https://github.com/wtjiang98/PSGAN
**Semantically Mutil-modal Image Synthesis**
- 主页：http://seanseattle.github.io/SMIS
- 论文：https://arxiv.org/abs/2003.12697
- 代码：https://github.com/Seanseattle/SMIS
**Unpaired Portrait Drawing Generation via Asymmetric Cycle Mapping**
- 论文：https://yiranran.github.io/files/CVPR2020_Unpaired%20Portrait%20Drawing%20Generation%20via%20Asymmetric%20Cycle%20Mapping.pdf
- 代码：https://github.com/yiranran/Unpaired-Portrait-Drawing
**Learning to Cartoonize Using White-box Cartoon Representations**
- 论文：https://github.com/SystemErrorWang/White-box-Cartoonization/blob/master/paper/06791.pdf
- 主页：https://systemerrorwang.github.io/White-box-Cartoonization/
- 代码：https://github.com/SystemErrorWang/White-box-Cartoonization
- 解读：https://zhuanlan.zhihu.com/p/117422157
- Demo视频：https://www.bilibili.com/video/av56708333
**GAN Compression: Efficient Architectures for Interactive Conditional GANs**
- 论文：https://arxiv.org/abs/2003.08936
- 代码：https://github.com/mit-han-lab/gan-compression
**Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions**
- 论文：https://arxiv.org/abs/2003.01826
- 代码：https://github.com/cc-hpc-itwm/UpConv
# Re-ID
**COCAS: A Large-Scale Clothes Changing Person Dataset for Re-identification**
- 论文：https://arxiv.org/abs/2005.07862
- 数据集：暂无
**Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking**
- 论文：https://arxiv.org/abs/2004.04199
- 代码：https://github.com/whj363636/Adversarial-attack-on-Person-ReID-With-Deep-Mis-Ranking
**Pose-guided Visible Part Matching for Occluded Person ReID**
- 论文：https://arxiv.org/abs/2004.00230
- 代码：https://github.com/hh23333/PVPM
**Weakly supervised discriminative feature learning with state information for person identification**
- 论文：https://arxiv.org/abs/2002.11939
- 代码：https://github.com/KovenYu/state-information
# 3D点云（分类/分割/配准等）
## 3D点云卷积
**PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling**
- 论文：https://arxiv.org/abs/2003.00492
- 代码：https://github.com/yanx27/PointASNL
**Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds**
- 论文下载链接：https://arxiv.org/abs/2003.12971
- 代码：https://github.com/raoyongming/PointGLR
**Grid-GCN for Fast and Scalable Point Cloud Learning**
- 论文：https://arxiv.org/abs/1912.02984
- 代码：https://github.com/Xharlie/Grid-GCN
**FPConv: Learning Local Flattening for Point Convolution**
- 论文：https://arxiv.org/abs/2002.10701
- 代码：https://github.com/lyqun/FPConv
## 3D点云分类
**PointAugment: an Auto-Augmentation Framework for Point Cloud Classification**
- 论文：https://arxiv.org/abs/2002.10876
- 代码（即将开源）： https://github.com/liruihui/PointAugment/
## 3D点云语义分割
**RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds**
- 论文：https://arxiv.org/abs/1911.11236
- 代码：https://github.com/QingyongHu/RandLA-Net
- 解读：https://zhuanlan.zhihu.com/p/105433460
**Weakly Supervised Semantic Point Cloud Segmentation:Towards 10X Fewer Labels**
- 论文：https://arxiv.org/abs/2004.0409
- 代码：https://github.com/alex-xun-xu/WeakSupPointCloudSeg
**PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation**
- 论文：https://arxiv.org/abs/2003.14032
- 代码：https://github.com/edwardzhou130/PolarSeg
**Learning to Segment 3D Point Clouds in 2D Image Space**
- 论文：https://arxiv.org/abs/2003.05593
- 代码：https://github.com/WPI-VISLab/Learning-to-Segment-3D-Point-Clouds-in-2D-Image-Space
## 3D点云实例分割
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation
- 论文：https://arxiv.org/abs/2004.01658
- 代码：https://github.com/Jia-Research-Lab/PointGroup
## 3D点云配准
**D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features**
- 论文：https://arxiv.org/abs/2003.03164
- 代码：https://github.com/XuyangBai/D3Feat
**RPM-Net: Robust Point Matching using Learned Features**
- 论文：https://arxiv.org/abs/2003.13479
- 代码：https://github.com/yewzijian/RPMNet
## 3D点云补全
**Cascaded Refinement Network for Point Cloud Completion**
- 论文：https://arxiv.org/abs/2004.03327
- 代码：https://github.com/xiaogangw/cascaded-point-completion
## 3D点云目标跟踪
**P2B: Point-to-Box Network for 3D Object Tracking in Point Clouds**
- 论文：https://arxiv.org/abs/2005.13888
- 代码：https://github.com/HaozheQi/P2B
## 其他
**An Efficient PointLSTM for Point Clouds Based Gesture Recognition**
- 论文：http://openaccess.thecvf.com/content_CVPR_2020/html/Min_An_Efficient_PointLSTM_for_Point_Clouds_Based_Gesture_Recognition_CVPR_2020_paper.html
- 代码：https://github.com/Blueprintf/pointlstm-gesture-recognition-pytorch
# 人脸
## 人脸识别
**CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition**
- 论文：https://arxiv.org/abs/2004.00288
- 代码：https://github.com/HuangYG123/CurricularFace
**Learning Meta Face Recognition in Unseen Domains**
- 论文：https://arxiv.org/abs/2003.07733
- 代码：https://github.com/cleardusk/MFR
- 解读：https://mp.weixin.qq.com/s/YZoEnjpnlvb90qSI3xdJqQ
## 人脸检测
## 人脸活体检测
**Searching Central Difference Convolutional Networks for Face Anti-Spoofing**
- 论文：https://arxiv.org/abs/2003.04092
- 代码：https://github.com/ZitongYu/CDCN
## 人脸表情识别
**Suppressing Uncertainties for Large-Scale Facial Expression Recognition**
- 论文：https://arxiv.org/abs/2002.10392
- 代码（即将开源）：https://github.com/kaiwang960112/Self-Cure-Network
## 人脸转正
**Rotate-and-Render: Unsupervised Photorealistic Face Rotation from Single-View Images**
- 论文：https://arxiv.org/abs/2003.08124
- 代码：https://github.com/Hangz-nju-cuhk/Rotate-and-Render
## 人脸3D重建
**AvatarMe: Realistically Renderable 3D Facial Reconstruction "in-the-wild"**
- 论文：https://arxiv.org/abs/2003.13845
- 数据集：https://github.com/lattas/AvatarMe
**FaceScape: a Large-scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction**
- 论文：https://arxiv.org/abs/2003.13989
- 代码：https://github.com/zhuhao-nju/facescape
# 人体姿态估计(2D/3D)
## 2D人体姿态估计
**HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation**
- 论文：https://arxiv.org/abs/1908.10357
- 代码：https://github.com/HRNet/HigherHRNet-Human-Pose-Estimation
**The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation**
- 论文：https://arxiv.org/abs/1911.07524
- 代码：https://github.com/HuangJunJie2017/UDP-Pose
- 解读：https://zhuanlan.zhihu.com/p/92525039
**Distribution-Aware Coordinate Representation for Human Pose Estimation**
- 主页：https://ilovepose.github.io/coco/
- 论文：https://arxiv.org/abs/1910.06278
- 代码：https://github.com/ilovepose/DarkPose
## 3D人体姿态估计
**Fusing Wearable IMUs with Multi-View Images for Human Pose Estimation: A Geometric Approach**
- 主页：https://www.zhe-zhang.com/cvpr2020
- 论文：https://arxiv.org/abs/2003.11163
- 代码：https://github.com/CHUNYUWANG/imu-human-pose-pytorch
**Bodies at Rest: 3D Human Pose and Shape Estimation from a Pressure Image using Synthetic Data**
- 论文下载链接：https://arxiv.org/abs/2004.01166
- 代码：https://github.com/Healthcare-Robotics/bodies-at-rest
- 数据集：https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/KOA4ML
**Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis**
- 主页：http://val.cds.iisc.ac.in/pgp-human/
- 论文：https://arxiv.org/abs/2004.04400
**Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation**
- 论文：https://arxiv.org/abs/2004.00329
- 代码：https://github.com/fabbrimatteo/LoCO
**VIBE: Video Inference for Human Body Pose and Shape Estimation**
- 论文：https://arxiv.org/abs/1912.05656
- 代码：https://github.com/mkocabas/VIBE
**Back to the Future: Joint Aware Temporal Deep Learning 3D Human Pose Estimation**
- 论文：https://arxiv.org/abs/2002.11251
- 代码：https://github.com/vnmr/JointVideoPose3D
**Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS**
- 论文：https://arxiv.org/abs/2003.03972
- 数据集：暂无
# 人体解析
**Correlating Edge, Pose with Parsing**
- 论文：https://arxiv.org/abs/2005.01431
- 代码：https://github.com/ziwei-zh/CorrPM
# 场景文本检测
**ContourNet: Taking a Further Step Toward Accurate Arbitrary-Shaped Scene Text Detection**
- 论文：http://openaccess.thecvf.com/content_CVPR_2020/papers/Wang_ContourNet_Taking_a_Further_Step_Toward_Accurate_Arbitrary-Shaped_Scene_Text_CVPR_2020_paper.pdf
- 代码：https://github.com/wangyuxin87/ContourNet
**UnrealText: Synthesizing Realistic Scene Text Images from the Unreal World**
- 论文：https://arxiv.org/abs/2003.10608
- 代码和数据集：https://github.com/Jyouhou/UnrealText/
**ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network**
- 论文：https://arxiv.org/abs/2002.10200
- 代码（即将开源）：https://github.com/Yuliang-Liu/bezier_curve_text_spotting
- 代码（即将开源）：https://github.com/aim-uofa/adet
**Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection**
- 论文：https://arxiv.org/abs/2003.07493
- 代码：https://github.com/GXYM/DRRG
# 场景文本识别
**SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition**
- 论文：https://arxiv.org/abs/2005.10977
- 代码：https://github.com/Pay20Y/SEED
**UnrealText: Synthesizing Realistic Scene Text Images from the Unreal World**
- 论文：https://arxiv.org/abs/2003.10608
- 代码和数据集：https://github.com/Jyouhou/UnrealText/
**ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network**
- 论文：https://arxiv.org/abs/2002.10200
- 代码（即将开源）：https://github.com/aim-uofa/adet
**Learn to Augment: Joint Data Augmentation and Network Optimization for Text Recognition**
- 论文：https://arxiv.org/abs/2003.06606
- 代码：https://github.com/Canjie-Luo/Text-Image-Augmentation
# 特征(点)检测和描述
**SuperGlue: Learning Feature Matching with Graph Neural Networks**
- 论文：https://arxiv.org/abs/1911.11763
- 代码：https://github.com/magicleap/SuperGluePretrainedNetwork
# 超分辨率
## 图像超分辨率
**Closed-Loop Matters: Dual Regression Networks for Single Image Super-Resolution**
- 论文：http://openaccess.thecvf.com/content_CVPR_2020/html/Guo_Closed-Loop_Matters_Dual_Regression_Networks_for_Single_Image_Super-Resolution_CVPR_2020_paper.html
- 代码：https://github.com/guoyongcs/DRN
**Learning Texture Transformer Network for Image Super-Resolution**
- 论文：https://arxiv.org/abs/2006.04139
- 代码：https://github.com/FuzhiYang/TTSR
**Image Super-Resolution with Cross-Scale Non-Local Attention and Exhaustive Self-Exemplars Mining**
- 论文：https://arxiv.org/abs/2006.01424
- 代码：https://github.com/SHI-Labs/Cross-Scale-Non-Local-Attention
**Structure-Preserving Super Resolution with Gradient Guidance**
- 论文：https://arxiv.org/abs/2003.13081
- 代码：https://github.com/Maclory/SPSR
**Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy**
论文：https://arxiv.org/abs/2004.00448
代码：https://github.com/clovaai/cutblur
## 视频超分辨率
**TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution**
- 论文：https://arxiv.org/abs/1812.02898
- 代码：https://github.com/YapengTian/TDAN-VSR-CVPR-2020
**Space-Time-Aware Multi-Resolution Video Enhancement**
- 主页：https://alterzero.github.io/projects/STAR.html
- 论文：http://arxiv.org/abs/2003.13170
- 代码：https://github.com/alterzero/STARnet
**Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution**
- 论文：https://arxiv.org/abs/2002.11616
- 代码：https://github.com/Mukosame/Zooming-Slow-Mo-CVPR-2020
# 模型压缩/剪枝
**DMCP: Differentiable Markov Channel Pruning for Neural Networks**
- 论文：https://arxiv.org/abs/2005.03354
- 代码：https://github.com/zx55/dmcp
**Forward and Backward Information Retention for Accurate Binary Neural Networks**
- 论文：https://arxiv.org/abs/1909.10788
- 代码：https://github.com/htqin/IR-Net
**Towards Efficient Model Compression via Learned Global Ranking**
- 论文：https://arxiv.org/abs/1904.12368
- 代码：https://github.com/cmu-enyac/LeGR
**HRank: Filter Pruning using High-Rank Feature Map**
- 论文：http://arxiv.org/abs/2002.10179
- 代码：https://github.com/lmbxmu/HRank
**GAN Compression: Efficient Architectures for Interactive Conditional GANs**
- 论文：https://arxiv.org/abs/2003.08936
- 代码：https://github.com/mit-han-lab/gan-compression
**Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression**
- 论文：https://arxiv.org/abs/2003.08935
- 代码：https://github.com/ofsoundof/group_sparsity
# 视频理解/行为识别
**Oops! Predicting Unintentional Action in Video**
- 主页：https://oops.cs.columbia.edu/
- 论文：https://arxiv.org/abs/1911.11206
- 代码：https://github.com/cvlab-columbia/oops
- 数据集：https://oops.cs.columbia.edu/data
**PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition**
- 论文：https://arxiv.org/abs/1911.12409
- 代码：https://github.com/shlizee/Predict-Cluster
**Intra- and Inter-Action Understanding via Temporal Action Parsing**
- 论文：https://arxiv.org/abs/2005.10229
- 主页和数据集：https://sdolivia.github.io/TAPOS/
**3DV: 3D Dynamic Voxel for Action Recognition in Depth Video**
- 论文：https://arxiv.org/abs/2005.05501
- 代码：https://github.com/3huo/3DV-Action
**FineGym: A Hierarchical Video Dataset for Fine-grained Action Understanding**
- 主页：https://sdolivia.github.io/FineGym/
- 论文：https://arxiv.org/abs/2004.06704
**TEA: Temporal Excitation and Aggregation for Action Recognition**
- 论文：https://arxiv.org/abs/2004.01398
- 代码：https://github.com/Phoenix1327/tea-action-recognition
**X3D: Expanding Architectures for Efficient Video Recognition**
- 论文：https://arxiv.org/abs/2004.04730
- 代码：https://github.com/facebookresearch/SlowFast
**Temporal Pyramid Network for Action Recognition**
- 主页：https://decisionforce.github.io/TPN
- 论文：https://arxiv.org/abs/2004.03548
- 代码：https://github.com/decisionforce/TPN
## 基于骨架的动作识别
**Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition**
- 论文：https://arxiv.org/abs/2003.14111
- 代码：https://github.com/kenziyuliu/ms-g3d
# 人群计数
# 深度估计
**BiFuse: Monocular 360◦ Depth Estimation via Bi-Projection Fusion**
- 论文：http://openaccess.thecvf.com/content_CVPR_2020/papers/Wang_BiFuse_Monocular_360_Depth_Estimation_via_Bi-Projection_Fusion_CVPR_2020_paper.pdf
- 代码：https://github.com/Yeh-yu-hsuan/BiFuse
**Focus on defocus: bridging the synthetic to real domain gap for depth estimation**
- 论文：https://arxiv.org/abs/2005.09623
- 代码：https://github.com/dvl-tum/defocus-net
**Bi3D: Stereo Depth Estimation via Binary Classifications**
- 论文：https://arxiv.org/abs/2005.07274
- 代码：https://github.com/NVlabs/Bi3D
**AANet: Adaptive Aggregation Network for Efficient Stereo Matching**
- 论文：https://arxiv.org/abs/2004.09548
- 代码：https://github.com/haofeixu/aanet
**Towards Better Generalization: Joint Depth-Pose Learning without PoseNet**
- 论文：https://github.com/B1ueber2y/TrianFlow
- 代码：https://github.com/B1ueber2y/TrianFlow
## 单目深度估计
**On the uncertainty of self-supervised monocular depth estimation**
- 论文：https://arxiv.org/abs/2005.06209
- 代码：https://github.com/mattpoggi/mono-uncertainty
**3D Packing for Self-Supervised Monocular Depth Estimation**
- 论文：https://arxiv.org/abs/1905.02693
- 代码：https://github.com/TRI-ML/packnet-sfm
- Demo视频：https://www.bilibili.com/video/av70562892/
**Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation**
- 论文：https://arxiv.org/abs/2002.12114
- 代码：https://github.com/yzhao520/ARC
# 6D目标姿态估计
**MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion**
- 论文：https://arxiv.org/abs/2004.04336
- 代码：https://github.com/wkentaro/morefusion
**EPOS: Estimating 6D Pose of Objects with Symmetries**
主页：http://cmp.felk.cvut.cz/epos
论文：https://arxiv.org/abs/2004.00605
**G2L-Net: Global to Local Network for Real-time 6D Pose Estimation with Embedding Vector Features**
- 论文：https://arxiv.org/abs/2003.11089
- 代码：https://github.com/DC1991/G2L_Net
# 手势估计
**HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation**
- 论文：https://arxiv.org/abs/2004.00060
- 主页：http://vision.sice.indiana.edu/projects/hopenet
**Monocular Real-time Hand Shape and Motion Capture using Multi-modal Data**
- 论文：https://arxiv.org/abs/2003.09572
- 代码：https://github.com/CalciferZh/minimal-hand
# 显著性检测
**JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection**
- 论文：https://arxiv.org/abs/2004.08515
- 代码：https://github.com/kerenfu/JLDCF/
**UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders**
- 主页：http://dpfan.net/d3netbenchmark/
- 论文：https://arxiv.org/abs/2004.05763
- 代码：https://github.com/JingZhang617/UCNet
# 去噪
**A Physics-based Noise Formation Model for Extreme Low-light Raw Denoising**
- 论文：https://arxiv.org/abs/2003.12751
- 代码：https://github.com/Vandermode/NoiseModel
**CycleISP: Real Image Restoration via Improved Data Synthesis**
- 论文：https://arxiv.org/abs/2003.07761
- 代码：https://github.com/swz30/CycleISP
# 去雨
**Multi-Scale Progressive Fusion Network for Single Image Deraining**
- 论文：https://arxiv.org/abs/2003.10985
- 代码：https://github.com/kuihua/MSPFN
# 去模糊
## 视频去模糊
**Cascaded Deep Video Deblurring Using Temporal Sharpness Prior**
- 主页：https://csbhr.github.io/projects/cdvd-tsp/index.html
- 论文：https://arxiv.org/abs/2004.02501
- 代码：https://github.com/csbhr/CDVD-TSP
# 去雾
**Multi-Scale Boosted Dehazing Network with Dense Feature Fusion**
- 论文：https://arxiv.org/abs/2004.13388
- 代码：https://github.com/BookerDeWitt/MSBDN-DFF
# 特征点检测与描述
**ASLFeat: Learning Local Features of Accurate Shape and Localization**
- 论文：https://arxiv.org/abs/2003.10071
- 代码：https://github.com/lzx551402/aslfeat
# 视觉问答(VQA)
**VC R-CNN：Visual Commonsense R-CNN**
- 论文：https://arxiv.org/abs/2002.12204
- 代码：https://github.com/Wangt-CN/VC-R-CNN
# 视频问答(VideoQA)
**Hierarchical Conditional Relation Networks for Video Question Answering**
- 论文：https://arxiv.org/abs/2002.10698
- 代码：https://github.com/thaolmk54/hcrn-videoqa
# 视觉语言导航
**Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training**
- 论文：https://arxiv.org/abs/2002.10638
- 代码（即将开源）：https://github.com/weituo12321/PREVALENT
# 视频压缩
**Learning for Video Compression with Hierarchical Quality and Recurrent Enhancement**
- 论文：https://arxiv.org/abs/2003.01966
- 代码：https://github.com/RenYang-home/HLVC
# 视频插帧
**FeatureFlow: Robust Video Interpolation via Structure-to-Texture Generation**
- 论文：http://openaccess.thecvf.com/content_CVPR_2020/html/Gui_FeatureFlow_Robust_Video_Interpolation_via_Structure-to-Texture_Generation_CVPR_2020_paper.html
- 代码：https://github.com/CM-BF/FeatureFlow
**Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution**
- 论文：https://arxiv.org/abs/2002.11616
- 代码：https://github.com/Mukosame/Zooming-Slow-Mo-CVPR-2020
**Space-Time-Aware Multi-Resolution Video Enhancement**
- 主页：https://alterzero.github.io/projects/STAR.html
- 论文：http://arxiv.org/abs/2003.13170
- 代码：https://github.com/alterzero/STARnet
**Scene-Adaptive Video Frame Interpolation via Meta-Learning**
- 论文：https://arxiv.org/abs/2004.00779
- 代码：https://github.com/myungsub/meta-interpolation
**Softmax Splatting for Video Frame Interpolation**
- 主页：http://sniklaus.com/papers/softsplat
- 论文：https://arxiv.org/abs/2003.05534
- 代码：https://github.com/sniklaus/softmax-splatting
# 风格迁移
**Diversified Arbitrary Style Transfer via Deep Feature Perturbation**
- 论文：https://arxiv.org/abs/1909.08223
- 代码：https://github.com/EndyWon/Deep-Feature-Perturbation
**Collaborative Distillation for Ultra-Resolution Universal Style Transfer**
- 论文：https://arxiv.org/abs/2003.08436
- 代码：https://github.com/mingsun-tse/collaborative-distillation
# 车道线检测
**Inter-Region Affinity Distillation for Road Marking Segmentation**
- 论文：https://arxiv.org/abs/2004.05304
- 代码：https://github.com/cardwing/Codes-for-IntRA-KD
# "人-物"交互(HOT)检测
**PPDM: Parallel Point Detection and Matching for Real-time Human-Object Interaction Detection**
- 论文：https://arxiv.org/abs/1912.12898
- 代码：https://github.com/YueLiao/PPDM
**Detailed 2D-3D Joint Representation for Human-Object Interaction**
- 论文：https://arxiv.org/abs/2004.08154
- 代码：https://github.com/DirtyHarryLYL/DJ-RN
**Cascaded Human-Object Interaction Recognition**
- 论文：https://arxiv.org/abs/2003.04262
- 代码：https://github.com/tfzhou/C-HOI
**VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions**
- 论文：https://arxiv.org/abs/2003.05541
- 代码：https://github.com/ASMIftekhar/VSGNet
# 轨迹预测
**The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction**
- 论文：https://arxiv.org/abs/1912.06445
- 代码：https://github.com/JunweiLiang/Multiverse
- 数据集：https://next.cs.cmu.edu/multiverse/
**Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction**
- 论文：https://arxiv.org/abs/2002.11927
- 代码：https://github.com/abduallahmohamed/Social-STGCNN
# 运动预测
**Collaborative Motion Prediction via Neural Motion Message Passing**
- 论文：https://arxiv.org/abs/2003.06594
- 代码：https://github.com/PhyllisH/NMMP
**MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps**
- 论文：https://arxiv.org/abs/2003.06754
- 代码：https://github.com/pxiangwu/MotionNet
# 光流估计
**Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation**
- 论文：https://arxiv.org/abs/2003.13045
- 代码：https://github.com/lliuz/ARFlow
# 图像检索
**Evade Deep Image Retrieval by Stashing Private Images in the Hash Space**
- 论文：http://openaccess.thecvf.com/content_CVPR_2020/html/Xiao_Evade_Deep_Image_Retrieval_by_Stashing_Private_Images_in_the_CVPR_2020_paper.html
- 代码：https://github.com/sugarruy/hashstash
# 虚拟试衣
**Towards Photo-Realistic Virtual Try-On by Adaptively Generating↔Preserving Image Content**
- 论文：https://arxiv.org/abs/2003.05863
- 代码：https://github.com/switchablenorms/DeepFashion_Try_On
# HDR
**Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline**
- 主页：https://www.cmlab.csie.ntu.edu.tw/~yulunliu/SingleHDR
- 论文下载链接：https://www.cmlab.csie.ntu.edu.tw/~yulunliu/SingleHDR_/00942.pdf
- 代码：https://github.com/alex04072000/SingleHDR
# 对抗样本
**Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance**
- 论文：https://arxiv.org/abs/1911.02466
- 代码：https://github.com/ZhengyuZhao/PerC-Adversarial
# 三维重建
**Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild**
- **CVPR 2020 Best Paper**
- 主页：https://elliottwu.com/projects/unsup3d/
- 论文：https://arxiv.org/abs/1911.11130
- 代码：https://github.com/elliottwu/unsup3d
**Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization**
- 主页：https://shunsukesaito.github.io/PIFuHD/
- 论文：https://arxiv.org/abs/2004.00452
- 代码：https://github.com/facebookresearch/pifuhd
- 论文：http://openaccess.thecvf.com/content_CVPR_2020/papers/Patel_TailorNet_Predicting_Clothing_in_3D_as_a_Function_of_Human_CVPR_2020_paper.pdf
- 代码：https://github.com/chaitanya100100/TailorNet
- 数据集：https://github.com/zycliao/TailorNet_dataset
**Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion**
- 论文：http://openaccess.thecvf.com/content_CVPR_2020/papers/Chibane_Implicit_Functions_in_Feature_Space_for_3D_Shape_Reconstruction_and_CVPR_2020_paper.pdf
- 代码：https://github.com/jchibane/if-net
- 论文：http://openaccess.thecvf.com/content_CVPR_2020/papers/Mir_Learning_to_Transfer_Texture_From_Clothing_Images_to_3D_Humans_CVPR_2020_paper.pdf
- 代码：https://github.com/aymenmir1/pix2surf
# 深度补全
**Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End**
论文：https://arxiv.org/abs/2006.03349
代码：https://github.com/abdo-eldesokey/pncnn
# 语义场景补全
**3D Sketch-aware Semantic Scene Completion via Semi-supervised Structure Prior**
- 论文：https://arxiv.org/abs/2003.14052
- 代码：https://github.com/charlesCXK/3D-SketchAware-SSC
# 图像/视频描述
**Syntax-Aware Action Targeting for Video Captioning**
- 论文：http://openaccess.thecvf.com/content_CVPR_2020/papers/Zheng_Syntax-Aware_Action_Targeting_for_Video_Captioning_CVPR_2020_paper.pdf
- 代码：https://github.com/SydCaption/SAAT
# 线框解析
**Holistically-Attracted Wireframe Parser**
- 论文：http://openaccess.thecvf.com/content_CVPR_2020/html/Xue_Holistically-Attracted_Wireframe_Parsing_CVPR_2020_paper.html
- 代码：https://github.com/cherubicXN/hawp
# 数据集
**FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation**
- 论文：http://openaccess.thecvf.com/content_CVPR_2020/html/Li_FSS-1000_A_1000-Class_Dataset_for_Few-Shot_Segmentation_CVPR_2020_paper.html
- 代码：https://github.com/HKUSTCV/FSS-1000
- 数据集：https://github.com/HKUSTCV/FSS-1000
**3D-ZeF: A 3D Zebrafish Tracking Benchmark Dataset**
- 主页：https://vap.aau.dk/3d-zef/
- 论文：https://arxiv.org/abs/2006.08466
- 代码：https://bitbucket.org/aauvap/3d-zef/src/master/
- 数据集：https://motchallenge.net/data/3D-ZeF20
**TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style**
- 论文：http://openaccess.thecvf.com/content_CVPR_2020/papers/Patel_TailorNet_Predicting_Clothing_in_3D_as_a_Function_of_Human_CVPR_2020_paper.pdf
- 代码：https://github.com/chaitanya100100/TailorNet
- 数据集：https://github.com/zycliao/TailorNet_dataset
**Oops! Predicting Unintentional Action in Video**
- 主页：https://oops.cs.columbia.edu/
- 论文：https://arxiv.org/abs/1911.11206
- 代码：https://github.com/cvlab-columbia/oops
- 数据集：https://oops.cs.columbia.edu/data
**The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction**
- 论文：https://arxiv.org/abs/1912.06445
- 代码：https://github.com/JunweiLiang/Multiverse
- 数据集：https://next.cs.cmu.edu/multiverse/
**Open Compound Domain Adaptation**
- 主页：https://liuziwei7.github.io/projects/CompoundDomain.html
- 数据集：https://drive.google.com/drive/folders/1_uNTF8RdvhS_sqVTnYx17hEOQpefmE2r?usp=sharing
- 论文：https://arxiv.org/abs/1909.03403
- 代码：https://github.com/zhmiao/OpenCompoundDomainAdaptation-OCDA
**Intra- and Inter-Action Understanding via Temporal Action Parsing**
- 论文：https://arxiv.org/abs/2005.10229
- 主页和数据集：https://sdolivia.github.io/TAPOS/
**Dynamic Refinement Network for Oriented and Densely Packed Object Detection**
- 论文下载链接：https://arxiv.org/abs/2005.09973
- 代码和数据集：https://github.com/Anymake/DRN_CVPR2020
**COCAS: A Large-Scale Clothes Changing Person Dataset for Re-identification**
- 论文：https://arxiv.org/abs/2005.07862
- 数据集：暂无
**KeypointNet: A Large-scale 3D Keypoint Dataset Aggregated from Numerous Human Annotations**
- 论文：https://arxiv.org/abs/2002.12687
- 数据集：https://github.com/qq456cvb/KeypointNet
**MSeg: A Composite Dataset for Multi-domain Semantic Segmentation**
- 论文：http://vladlen.info/papers/MSeg.pdf
- 代码：https://github.com/mseg-dataset/mseg-api
- 数据集：https://github.com/mseg-dataset/mseg-semantic
**AvatarMe: Realistically Renderable 3D Facial Reconstruction "in-the-wild"**
- 论文：https://arxiv.org/abs/2003.13845
- 数据集：https://github.com/lattas/AvatarMe
**Learning to Autofocus**
- 论文：https://arxiv.org/abs/2004.12260
- 数据集：暂无
**FaceScape: a Large-scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction**
- 论文：https://arxiv.org/abs/2003.13989
- 代码：https://github.com/zhuhao-nju/facescape
**Bodies at Rest: 3D Human Pose and Shape Estimation from a Pressure Image using Synthetic Data**
- 论文下载链接：https://arxiv.org/abs/2004.01166
- 代码：https://github.com/Healthcare-Robotics/bodies-at-rest
- 数据集：https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/KOA4ML
**FineGym: A Hierarchical Video Dataset for Fine-grained Action Understanding**
- 主页：https://sdolivia.github.io/FineGym/
- 论文：https://arxiv.org/abs/2004.06704
**A Local-to-Global Approach to Multi-modal Movie Scene Segmentation**
- 主页：https://anyirao.com/projects/SceneSeg.html
- 论文下载链接：https://arxiv.org/abs/2004.02678
- 代码：https://github.com/AnyiRao/SceneSeg
**Deep Homography Estimation for Dynamic Scenes**
- 论文：https://arxiv.org/abs/2004.02132
- 数据集：https://github.com/lcmhoang/hmg-dynamics
**Assessing Image Quality Issues for Real-World Problems**
- 主页：https://vizwiz.org/tasks-and-datasets/image-quality-issues/
- 论文：https://arxiv.org/abs/2003.12511
**UnrealText: Synthesizing Realistic Scene Text Images from the Unreal World**
- 论文：https://arxiv.org/abs/2003.10608
- 代码和数据集：https://github.com/Jyouhou/UnrealText/
**PANDA: A Gigapixel-level Human-centric Video Dataset**
- 论文：https://arxiv.org/abs/2003.04852
- 数据集：http://www.panda-dataset.com/
**IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning**
- 论文：https://arxiv.org/abs/2003.02920
- 数据集：https://github.com/intra3d2019/IntrA
**Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS**
- 论文：https://arxiv.org/abs/2003.03972
- 数据集：暂无
# 其他
**CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus**
- 论文：http://openaccess.thecvf.com/content_CVPR_2020/html/Kluger_CONSAC_Robust_Multi-Model_Fitting_by_Conditional_Sample_Consensus_CVPR_2020_paper.html
- 代码：https://github.com/fkluger/consac
**Learning to Learn Single Domain Generalization**
- 论文：https://arxiv.org/abs/2003.13216
- 代码：https://github.com/joffery/M-ADA
**Open Compound Domain Adaptation**
- 主页：https://liuziwei7.github.io/projects/CompoundDomain.html
- 数据集：https://drive.google.com/drive/folders/1_uNTF8RdvhS_sqVTnYx17hEOQpefmE2r?usp=sharing
- 论文：https://arxiv.org/abs/1909.03403
- 代码：https://github.com/zhmiao/OpenCompoundDomainAdaptation-OCDA
**Differentiable Volumetric Rendering: Learning Implicit 3D Representations without 3D Supervision**
- 论文：http://www.cvlibs.net/publications/Niemeyer2020CVPR.pdf
- 代码：https://github.com/autonomousvision/differentiable_volumetric_rendering
**QEBA: Query-Efficient Boundary-Based Blackbox Attack**
- 论文：https://arxiv.org/abs/2005.14137
- 代码：https://github.com/AI-secure/QEBA
**Equalization Loss for Long-Tailed Object Recognition**
- 论文：https://arxiv.org/abs/2003.05176
- 代码：https://github.com/tztztztztz/eql.detectron2
**Instance-aware Image Colorization**
- 主页：https://ericsujw.github.io/InstColorization/
- 论文：https://arxiv.org/abs/2005.10825
- 代码：https://github.com/ericsujw/InstColorization
**Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting**
- 论文：https://arxiv.org/abs/2005.09704
- 代码：https://github.com/Atlas200dk/sample-imageinpainting-HiFill
**Where am I looking at? Joint Location and Orientation Estimation by Cross-View Matching**
- 论文：https://arxiv.org/abs/2005.03860
- 代码：https://github.com/shiyujiao/cross_view_localization_DSM
**Epipolar Transformers**
- 论文：https://arxiv.org/abs/2005.04551
- 代码：https://github.com/yihui-he/epipolar-transformers
**Bringing Old Photos Back to Life**
- 主页：http://raywzy.com/Old_Photo/
- 论文：https://arxiv.org/abs/2004.09484
**MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask**
- 论文：https://arxiv.org/abs/2003.10955
- 代码：https://github.com/microsoft/MaskFlownet
**Self-Supervised Viewpoint Learning from Image Collections**
- 论文：https://arxiv.org/abs/2004.01793
- 论文2：https://research.nvidia.com/sites/default/files/pubs/2020-03_Self-Supervised-Viewpoint-Learning/SSV-CVPR2020.pdf
- 代码：https://github.com/NVlabs/SSV
**Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations**
- Oral
- 论文：https://arxiv.org/abs/2003.12237
- 代码：https://github.com/cuishuhao/BNM
**Towards Learning Structure via Consensus for Face Segmentation and Parsing**
- 论文：https://arxiv.org/abs/1911.00957
- 代码：https://github.com/isi-vista/structure_via_consensus
**Plug-and-Play Algorithms for Large-scale Snapshot Compressive Imaging**
- Oral
- 论文：https://arxiv.org/abs/2003.13654
- 代码：https://github.com/liuyang12/PnP-SCI
**Lightweight Photometric Stereo for Facial Details Recovery**
- 论文：https://arxiv.org/abs/2003.12307
- 代码：https://github.com/Juyong/FacePSNet
**Footprints and Free Space from a Single Color Image**
- 论文：https://arxiv.org/abs/2004.06376
- 代码：https://github.com/nianticlabs/footprints
**Self-Supervised Monocular Scene Flow Estimation**
- 论文：https://arxiv.org/abs/2004.04143
- 代码：https://github.com/visinf/self-mono-sf
**Quasi-Newton Solver for Robust Non-Rigid Registration**
- 论文：https://arxiv.org/abs/2004.04322
- 代码：https://github.com/Juyong/Fast_RNRR
**A Local-to-Global Approach to Multi-modal Movie Scene Segmentation**
- 主页：https://anyirao.com/projects/SceneSeg.html
- 论文下载链接：https://arxiv.org/abs/2004.02678
- 代码：https://github.com/AnyiRao/SceneSeg
**DeepFLASH: An Efficient Network for Learning-based Medical Image Registration**
- 论文：https://arxiv.org/abs/2004.02097
- 代码：https://github.com/jw4hv/deepflash
**Self-Supervised Scene De-occlusion**
- 主页：https://xiaohangzhan.github.io/projects/deocclusion/
- 论文：https://arxiv.org/abs/2004.02788
- 代码：https://github.com/XiaohangZhan/deocclusion
**Polarized Reflection Removal with Perfect Alignment in the Wild**
- 主页：https://leichenyang.weebly.com/project-polarized.html
- 代码：https://github.com/ChenyangLEI/CVPR2020-Polarized-Reflection-Removal-with-Perfect-Alignment
**Background Matting: The World is Your Green Screen**
- 论文：https://arxiv.org/abs/2004.00626
- 代码：http://github.com/senguptaumd/Background-Matting
**What Deep CNNs Benefit from Global Covariance Pooling: An Optimization Perspective**
- 论文：https://arxiv.org/abs/2003.11241
- 代码：https://github.com/ZhangLi-CS/GCP_Optimization
**Look-into-Object: Self-supervised Structure Modeling for Object Recognition**
- 论文：暂无
- 代码：https://github.com/JDAI-CV/LIO
**Video Object Grounding using Semantic Roles in Language Description**
- 论文：https://arxiv.org/abs/2003.10606
- 代码：https://github.com/TheShadow29/vognet-pytorch
**Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives**
- 论文：https://arxiv.org/abs/2003.10739
- 代码：https://github.com/d-li14/DHM
**SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization**
- 论文：http://www.cs.umd.edu/~yuejiang/papers/SDFDiff.pdf
- 代码：https://github.com/YueJiang-nj/CVPR2020-SDFDiff
**On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location**
- 论文：https://arxiv.org/abs/2003.07064
- 代码：https://github.com/oskyhn/CNNs-Without-Borders
**GhostNet: More Features from Cheap Operations**
- 论文：https://arxiv.org/abs/1911.11907
- 代码：https://github.com/iamhankai/ghostnet
**AdderNet: Do We Really Need Multiplications in Deep Learning?**
- 论文：https://arxiv.org/abs/1912.13200
- 代码：https://github.com/huawei-noah/AdderNet
**Deep Image Harmonization via Domain Verification**
- 论文：https://arxiv.org/abs/1911.13239
- 代码：https://github.com/bcmi/Image_Harmonization_Datasets
**Blurry Video Frame Interpolation**
- 论文：https://arxiv.org/abs/2002.12259
- 代码：https://github.com/laomao0/BIN
**Extremely Dense Point Correspondences using a Learned Feature Descriptor**
- 论文：https://arxiv.org/abs/2003.00619
- 代码：https://github.com/lppllppl920/DenseDescriptorLearning-Pytorch
**Filter Grafting for Deep Neural Networks**
- 论文：https://arxiv.org/abs/2001.05868
- 代码：https://github.com/fxmeng/filter-grafting
- 论文解读：https://www.zhihu.com/question/372070853/answer/1041569335
**Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation**
- 论文：https://arxiv.org/abs/2003.02824
- 代码：https://github.com/cmhungsteve/SSTDA
**Detecting Attended Visual Targets in Video**
- 论文：https://arxiv.org/abs/2003.02501
- 代码：https://github.com/ejcgt/attention-target-detection
**Deep Image Spatial Transformation for Person Image Generation**
- 论文：https://arxiv.org/abs/2003.00696
- 代码：https://github.com/RenYurui/Global-Flow-Local-Attention
**Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications**
- 论文：https://arxiv.org/abs/2003.01455
- 代码：https://github.com/bbrattoli/ZeroShotVideoClassification
https://github.com/charlesCXK/3D-SketchAware-SSC
https://github.com/Anonymous20192020/Anonymous_CVPR5767
https://github.com/avirambh/ScopeFlow
https://github.com/csbhr/CDVD-TSP
https://github.com/ymcidence/TBH
https://github.com/yaoyao-liu/mnemonics
https://github.com/meder411/Tangent-Images
https://github.com/KaihuaTang/Scene-Graph-Benchmark.pytorch
https://github.com/sjmoran/deep_local_parametric_filters
https://github.com/charlesCXK/3D-SketchAware-SSC
https://github.com/bermanmaxim/AOWS
https://github.com/dc3ea9f/look-into-object
# 不确定中没中
**FADNet: A Fast and Accurate Network for Disparity Estimation**
- 论文：还没出来
- 代码：https://github.com/HKBU-HPML/FADNet
https://github.com/rFID-submit/RandomFID：不确定中没中
https://github.com/JackSyu/AE-MSR：不确定中没中
https://github.com/fastconvnets/cvpr2020：不确定中没中
https://github.com/aimagelab/meshed-memory-transformer：不确定中没中
https://github.com/TWSFar/CRGNet：不确定中没中
https://github.com/CVPR-2020/CDARTS：不确定中没中
https://github.com/anucvml/ddn-cvprw2020：不确定中没中
https://github.com/dl-model-recommend/model-trust：不确定中没中
https://github.com/apratimbhattacharyya18/CVPR-2020-Corr-Prior：不确定中没中
https://github.com/onetcvpr/O-Net：不确定中没中
https://github.com/502463708/Microcalcification_Detection：不确定中没中
https://github.com/anonymous-for-review/cvpr-2020-deep-smoke-machine：不确定中没中
https://github.com/anonymous-for-review/cvpr-2020-smoke-recognition-dataset：不确定中没中
https://github.com/cvpr-nonrigid/dataset：不确定中没中
https://github.com/theFool32/PPBA：不确定中没中
https://github.com/Realtime-Action-Recognition/Realtime-Action-Recognition