CVPR2020 论文和代码合集

迷南。 2022-10-13 12:49 196阅读 0赞

# 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

**【推荐阅读】**

*  [CVPR 2020 virtual][]
 *  ECCV 2020 论文开源项目合集来了：https://github.com/amusi/ECCV2020-Code
 *  关于往年CV顶会论文（如ECCV 2020、CVPR 2019、ICCV 2019）以及其他优质CV论文和大盘点，详见： https://github.com/amusi/daily-paper-computer-vision

**【CVPR 2020 论文开源目录】**

*  CNN
 *  图像分类
 *  视频分类
 *  目标检测
 *  3D目标检测
 *  视频目标检测
 *  目标跟踪
 *  语义分割
 *  实例分割
 *  全景分割
 *  视频目标分割
 *  超像素分割
 *  交互式图像分割
 *  NAS
 *  GAN
 *  Re-ID
 *  3D点云（分类/分割/配准/跟踪等）
 *  人脸（识别/检测/重建等）
 *  人体姿态估计(2D/3D)
 *  人体解析
 *  场景文本检测
 *  场景文本识别
 *  特征(点)检测和描述
 *  超分辨率
 *  模型压缩/剪枝
 *  视频理解/行为识别
 *  人群计数
 *  深度估计
 *  6D目标姿态估计
 *  手势估计
 *  显著性检测
 *  去噪
 *  去雨
 *  去模糊
 *  去雾
 *  特征点检测与描述
 *  视觉问答(VQA)
 *  视频问答(VideoQA)
 *  视觉语言导航
 *  视频压缩
 *  视频插帧
 *  风格迁移
 *  车道线检测
 *  "人-物"交互(HOI)检测
 *  轨迹预测
 *  运动预测
 *  光流估计
 *  图像检索
 *  虚拟试衣
 *  HDR
 *  对抗样本
 *  三维重建
 *  深度补全
 *  语义场景补全
 *  图像/视频描述
 *  线框解析
 *  数据集
 *  其他
 *  不确定中没中

# 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 #

**Interpretable and Accurate Fine-grained Recognition via Region Grouping**

*  论文：https://arxiv.org/abs/2005.10411
 *  代码：https://github.com/zxhuang1698/interpretability-by-parts

**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

# 视频分类 #

**SmallBigNet: Integrating Core and Contextual Views for Video Classification**

*  论文：https://arxiv.org/abs/2006.14582
 *  代码：https://github.com/xhl-video/SmallBigNet

# 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 #

**FDA: Fourier Domain Adaptation for Semantic Segmentation**

*  论文：https://arxiv.org/abs/2004.05498
 *  代码：https://github.com/YanchaoYang/FDA

**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**

**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 #

**Video Panoptic Segmentation**

*  论文：https://arxiv.org/abs/2006.11339
 *  代码：https://github.com/mcahny/vps
 *  数据集：https://www.dropbox.com/s/ecem4kq0fdkver4/cityscapes-vps-dataset-1.0.zip?dl=0

**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

# 交互式图像分割 #

**Interactive Object Segmentation with Inside-Outside Guidance**

*  论文下载链接：http://openaccess.thecvf.com/content\_CVPR\_2020/papers/Zhang\_Interactive\_Object\_Segmentation\_With\_Inside-Outside\_Guidance\_CVPR\_2020\_paper.pdf
 *  代码：https://github.com/shiyinzhang/Inside-Outside-Guidance
 *  数据集：https://github.com/shiyinzhang/Pixel-ImageNet

# 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 #

**SEAN: Image Synthesis with Semantic Region-Adaptive Normalization**

*  论文：https://arxiv.org/abs/1911.12861
 *  代码：https://github.com/ZPdesu/SEAN

**Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation**

*  论文地址：http://openaccess.thecvf.com/content\_CVPR\_2020/html/Chen\_Reusing\_Discriminators\_for\_Encoding\_Towards\_Unsupervised\_Image-to-Image\_Translation\_CVPR\_2020\_paper.html
 *  代码地址：https://github.com/alpc91/NICE-GAN-pytorch

**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 #

**High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification**

*  论文：http://openaccess.thecvf.com/content\_CVPR\_2020/html/Wang\_High-Order\_Information\_Matters\_Learning\_Relation\_and\_Topology\_for\_Occluded\_Person\_CVPR\_2020\_paper.html
 *  代码：https://github.com/wangguanan/HOReID

**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/2004.04091
 *  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 ##

**Feature-metric Registration: A Fast Semi-supervised Approach for Robust Point Cloud Registration without Correspondences**

*  论文：https://arxiv.org/abs/2005.01014
 *  代码：https://github.com/XiaoshuiHuang/fmr

**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 ##

**TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting**

*  主页：https://yzhq97.github.io/transmomo/
 *  论文：https://arxiv.org/abs/2003.14401
 *  代码：https://github.com/yzhq97/transmomo.pytorch

**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 ##

**Cascaded Deep Monocular 3D Human Pose Estimation With Evolutionary Training Data**

*  论文：https://arxiv.org/abs/2006.07778
 *  代码：https://github.com/Nicholasli1995/EvoSkeleton

**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 #

**STEFANN: Scene Text Editor using Font Adaptive Neural Network**

*  主页：https://prasunroy.github.io/stefann/
 *  论文：http://openaccess.thecvf.com/content\_CVPR\_2020/html/Roy\_STEFANN\_Scene\_Text\_Editor\_Using\_Font\_Adaptive\_Neural\_Network\_CVPR\_2020\_paper.html
 *  代码：https://github.com/prasunroy/stefann
 *  数据集：https://drive.google.com/open?id=1sEDiX\_jORh2X-HSzUnjIyZr-G9LJIw1k

**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 #

**PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation**

*  论文：http://openaccess.thecvf.com/content\_CVPR\_2020/papers/He\_PVN3D\_A\_Deep\_Point-Wise\_3D\_Keypoints\_Voting\_Network\_for\_6DoF\_CVPR\_2020\_paper.pdf
 *  代码：https://github.com/ethnhe/PVN3D

**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

**Detail-recovery Image Deraining via Context Aggregation Networks**

*  论文：https://openaccess.thecvf.com/content\_CVPR\_2020/html/Deng\_Detail-recovery\_Image\_Deraining\_via\_Context\_Aggregation\_Networks\_CVPR\_2020\_paper.html
 *  代码：https://github.com/Dengsgithub/DRD-Net

# 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 #

**Domain Adaptation for Image Dehazing**

*  论文：https://arxiv.org/abs/2005.04668
 *  代码：https://github.com/HUSTSYJ/DA\_dahazing

**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 #

**AdaCoF: Adaptive Collaboration of Flows for Video Frame Interpolation**

*  论文：https://arxiv.org/abs/1907.10244
 *  代码：https://github.com/HyeongminLEE/AdaCoF-pytorch

**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 #

**Enhancing Cross-Task Black-Box Transferability of Adversarial Examples With Dispersion Reduction**

*  论文：https://openaccess.thecvf.com/content\_CVPR\_2020/papers/Lu\_Enhancing\_Cross-Task\_Black-Box\_Transferability\_of\_Adversarial\_Examples\_With\_Dispersion\_Reduction\_CVPR\_2020\_paper.pdf
 *  代码：https://github.com/erbloo/dr\_cvpr20

**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/TorchSSC

# 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 #

**OASIS: A Large-Scale Dataset for Single Image 3D in the Wild**

*  论文：https://arxiv.org/abs/2007.13215
 *  数据集：https://oasis.cs.princeton.edu/

**STEFANN: Scene Text Editor using Font Adaptive Neural Network**

**Interactive Object Segmentation with Inside-Outside Guidance**

**Video Panoptic Segmentation**

*  论文：https://arxiv.org/abs/2006.11339
 *  代码：https://github.com/mcahny/vps
 *  数据集：https://www.dropbox.com/s/ecem4kq0fdkver4/cityscapes-vps-dataset-1.0.zip?dl=0

**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**

**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**

**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**

**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

[CVPR 2020]: https://openaccess.thecvf.com/CVPR2020
[CVPR 2020 virtual]: http://cvpr20.com/

CVPR2020 论文和代码合集

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