2020极市计算机视觉开发者榜单已于2020年7月20日开赛，8月31日截止提交，基于火焰识别、电动车头盔识别、后厨老鼠识别、摔倒识别四个赛道，47000+数据集，30万奖励等你挑战！点击这里报名

CVPR2020在2月24日公布了所有接受论文ID，相关报道：1470篇！CVPR2020结果出炉，你中了吗？（附部分论文链接/开源代码/解读）。自论文ID公布以来，许多开发者都分享了自己的优秀工作。

从论文ID公布以来，极市一直在对CVPR进行实时跟进，本文是对CVPR2020论文整理和分类，均有论文链接，部分含开源代码，涵盖的方向有：目标检测、目标跟踪、图像分割、人脸识别、姿态估计、三维点云、视频分析、模型加速、GAN、OCR等方向。

为了方便大家阅读，小极已经将全部论文下载并打包。扫描下方二维码 关注 极市平台 公众号，回复 CVPR2020 即可获取下载链接。同时，可访问 极市社区，后续论文收录会在这里保持更新。 声明：本文为极市平台原创整理，未经许可，不得擅自转载。

此外，我们也会在Github和极市社区上保持更新，欢迎大家关注： https://github.com/extreme-assistant/cvpr2020/blob/master/CVPR2020.md

20.CVPR 2020 论文大盘点-动作检测与动作分割篇

19.CVPR 2020 论文大盘点-动作识别篇

18.CVPR 2020 论文大盘点-光流篇

17.CVPR 2020 论文大盘点-图像与视频检索篇

16.CVPR 2020 论文大盘点-遥感与航拍影像处理识别篇

15.CVPR 2020 论文大盘点-图像质量评价篇

14.CVPR 2020 论文大盘点-图像修复 Inpainting 篇

13.CVPR 2020 论文大盘点-图像增强与图像恢复篇

12.CVPR 2020 论文大盘点-去雨去雾去模糊篇

11.CVPR 2020 论文大盘点-医学影像处理识别篇

10.CVPR 2020 论文大盘点-抠图 Matting 篇

9.CVPR 2020 论文大盘点-图像分割完整篇

8.CVPR 2020 论文大盘点-全景分割与视频目标分割篇

7.CVPR 2020 论文大盘点-超分辨篇

6.CVPR 2020 论文大盘点-目标检测篇

5.CVPR 2020 论文大盘点-人脸技术篇

4.CVPR 2020 论文大盘点-目标跟踪篇

3.CVPR 2020 论文大盘点-文本图像篇

2.CVPR 2020 论文大盘点-行人检测与重识别篇

1.CVPR 2020 论文大盘点-实例分割篇

1. 目标检测 2. 图像分割 3. 人脸识别 4. 目标跟踪 5. 三维点云/三维重建 6. 图像处理 7. 图像分类 8. 姿态估计/动作识别 9. 视频分析 10. OCR 11. GAN 12. 小样本/零样本 13. 弱监督/无监督/自监督 14. 行人跟踪/行人检测/ReID 15. 神经网络/模型加速/模型压缩 16. 超分辨率 17. 视觉常识/数据集/其他

Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection 论文地址：https://arxiv.org/abs/1912.02424 代码：https://github.com/sfzhang15/ATSS

Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector 论文地址：https://arxiv.org/abs/1908.01998

AugFPN: Improving Multi-scale Feature Learning for Object Detection 论文地址：https://arxiv.org/abs/1912.05384

Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection 论文地址：https://arxiv.org/abs/2003.11818 代码：https://github.com/ggjy/HitDet.pytorch

Multi-task Collaborative Network for Joint Referring Expression Comprehension and Segmentation 论文地址：https://arxiv.org/abs/2003.08813

CentripetalNet: Pursuing High-quality Keypoint Pairs for Object Detection 论文地址：https://arxiv.org/abs/2003.09119 代码：https://github.com/KiveeDong/CentripetalNet

Semi-Supervised Semantic Image Segmentation with Self-correcting Networks 论文地址：https://arxiv.org/abs/1811.07073

Deep Snake for Real-Time Instance Segmentation 论文地址：https://arxiv.org/abs/2001.01629

CenterMask : Real-Time Anchor-Free Instance Segmentation 论文地址：https://arxiv.org/abs/1911.06667 代码：https://github.com/youngwanLEE/CenterMask

SketchGCN: Semantic Sketch Segmentation with Graph Convolutional Networks 论文地址：https://arxiv.org/abs/2003.00678

PolarMask: Single Shot Instance Segmentation with Polar Representation 论文地址：https://arxiv.org/abs/1909.13226 代码：https://github.com/xieenze/PolarMask

xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation 论文地址：https://arxiv.org/abs/1911.12676

BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation 论文地址：https://arxiv.org/abs/2001.00309

Enhancing Generic Segmentation with Learned Region Representations 论文地址：https://arxiv.org/abs/1911.08564

Towards Universal Representation Learning for Deep Face Recognition 论文地址：https://arxiv.org/abs/2002.11841

Suppressing Uncertainties for Large-Scale Facial Expression Recognition 论文地址：https://arxiv.org/abs/2002.10392 代码：https://github.com/kaiwang960112/Self-Cure-Network

Face X-ray for More General Face Forgery Detection 论文地址：https://arxiv.org/pdf/1912.13458.pdf

Pose Agnostic Cross-spectral Hallucination via Disentangling Independent Factors 论文地址：https://arxiv.org/abs/1909.04365

Deep Spatial Gradient and Temporal Depth Learning for Face Anti-spoofing 论文地址：https://arxiv.org/abs/2003.08061 代码：https://github.com/clks-wzz/FAS-SGTD

Learning Meta Face Recognition in Unseen Domains 论文地址：https://arxiv.org/abs/2003.07733 代码：https://github.com/cleardusk/MFR

PF-Net: Point Fractal Network for 3D Point Cloud Completion 论文地址：https://arxiv.org/abs/2003.00410

PointAugment: an Auto-Augmentation Framework for Point Cloud Classification 论文地址：https://arxiv.org/abs/2002.10876 代码：https://github.com/liruihui/PointAugment/

Learning multiview 3D point cloud registration 论文地址：https://arxiv.org/abs/2001.05119

C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds 论文地址：https://arxiv.org/abs/1912.07009

RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds 论文地址：https://arxiv.org/abs/1911.11236

Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image 论文地址：https://arxiv.org/abs/2002.12212

Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion 论文地址：https://arxiv.org/abs/2003.01456

In Perfect Shape: Certifiably Optimal 3D Shape Reconstruction from 2D Landmarks 论文地址：https://arxiv.org/pdf/1911.11924.pdf

Attentive Context Normalization for Robust Permutation-Equivariant Learning 论文地址：https://arxiv.org/abs/1907.02545 Weiwei Sun, Wei Jiang, Eduard Trulls, Andrea Tagliasacchi, Kwang Moo Yi

PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes 论文地址：https://arxiv.org/abs/1911.10949

SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans 论文地址：https://arxiv.org/abs/1912.00036

Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching 论文地址：https://arxiv.org/abs/1912.06378 代码：https://github.com/alibaba/cascade-stereo

Unsupervised Learning of Intrinsic Structural Representation Points 论文地址：https://arxiv.org/abs/2003.01661 代码：https://github.com/NolenChen/3DStructurePoints

Learning to Shade Hand-drawn Sketches 论文地址：https://arxiv.org/abs/2002.11812

Single Image Reflection Removal through Cascaded Refinement 论文地址：https://arxiv.org/abs/1911.06634

Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data 论文地址：https://arxiv.org/abs/2002.11297

Deep Image Harmonization via Domain Verification 论文地址：https://arxiv.org/abs/1911.13239 代码：https://github.com/bcmi/Image_Harmonization_Datasets

RoutedFusion: Learning Real-time Depth Map Fusion 论文地址：https://arxiv.org/pdf/2001.04388.pdf

Neural Contours: Learning to Draw Lines from 3D Shapes 论文地址：https://arxiv.org/abs/2003.10333

Towards Photo-Realistic Virtual Try-On by Adaptively Generating鈫Preserving Image Content 论文地址：https://arxiv.org/abs/2003.05863

Reinforced Feature Points: Optimizing Feature Detection and Description for a High-Level Task（图像处理-图像特征匹配） 论文地址：https://arxiv.org/abs/1912.00623

Correspondence Networks with Adaptive Neighbourhood Consensus（图像处理-图像特征匹配） 论文地址：https://arxiv.org/abs/2003.12059

Normalized and Geometry-Aware Self-Attention Network for Image Captioning（图像处理-图像字幕） 论文地址：https://arxiv.org/abs/2003.08897

Self-training with Noisy Student improves ImageNet classification 论文地址：https://arxiv.org/abs/1911.04252

Image Matching across Wide Baselines: From Paper to Practice 论文地址：https://arxiv.org/abs/2003.01587

Towards Robust Image Classification Using Sequential Attention Models 论文地址：https://arxiv.org/abs/1912.02184

Learning in the Frequency Domain 论文地址：https://arxiv.org/abs/2002.12416

Learning from Web Data with Memory Module 论文地址：https://arxiv.org/abs/1906.12028

Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks 论文地址：https://arxiv.org/abs/1912.09393

VIBE: Video Inference for Human Body Pose and Shape Estimation 论文地址：https://arxiv.org/abs/1912.05656 代码：https://github.com/mkocabas/VIBE

Distribution-Aware Coordinate Representation for Human Pose Estimation 论文地址：https://arxiv.org/abs/1910.06278 代码：https://github.com/ilovepose/DarkPose

4D Association Graph for Realtime Multi-person Motion Capture Using Multiple Video Cameras 论文地址：https://arxiv.org/abs/2002.12625

Optimal least-squares solution to the hand-eye calibration problem 论文地址：https://arxiv.org/abs/2002.10838

D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry 论文地址：https://arxiv.org/abs/2003.01060

Multi-Modal Domain Adaptation for Fine-Grained Action Recognition 论文地址：https://arxiv.org/abs/2001.09691

Distribution Aware Coordinate Representation for Human Pose Estimation 论文地址：https://arxiv.org/abs/1910.06278

The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation 论文地址：https://arxiv.org/abs/1911.07524

PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation 论文地址：https://arxiv.org/abs/1911.04231

Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation 论文地址：https://arxiv.org/abs/2003.02824

G2L-Net: Global to Local Network for Real-time 6D Pose Estimation with Embedding Vector Features 论文地址：https://arxiv.org/abs/2003.11089

Deep Image Spatial Transformation for Person Image Generation 论文地址：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 论文地址：https://arxiv.org/abs/2003.01455 代码：https://github.com/bbrattoli/ZeroShotVideoClassification

Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs 论文地址：https://arxiv.org/abs/2003.00387

Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning 论文地址：https://arxiv.org/abs/2003.00392

Object Relational Graph with Teacher-Recommended Learning for Video Captioning 论文地址：https://arxiv.org/abs/2002.11566

Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution 论文地址：https://arxiv.org/abs/2002.11616

Blurry Video Frame Interpolation 论文地址：https://arxiv.org/abs/2002.12259

Hierarchical Conditional Relation Networks for Video Question Answering 论文地址：https://arxiv.org/abs/2002.10698

Action Modifiers:Learning from Adverbs in Instructional Video 论文地址：https://arxiv.org/abs/1912.06617

Visual Grounding in Video for Unsupervised Word Translation 论文地址：https://arxiv.org/abs/2003.05078 代码：https://github.com/gsig/visual-grounding

MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask（视频分析-光流估计） 论文地址：https://arxiv.org/abs/2003.10955 代码：https://github.com/microsoft/MaskFlownet

Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects（视频预测） 论文地址：https://arxiv.org/abs/2003.12045 代码：https://ehsanik.github.io/forcecvpr2020

ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network 论文地址：https://arxiv.org/abs/2002.10200 代码：https://github.com/Yuliang-Liu/bezier_curve_text_spotting,https://github.com/aim-uofa/adet

Iterative Answer Prediction with Pointer-Augmented Multimodal Transformers for TextVQA 论文地址：https://arxiv.org/abs/1911.06258

Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models 论文地址：https://arxiv.org/abs/1911.12287 代码：https://github.com/giannisdaras/ylg

MSG-GAN: Multi-Scale Gradient GAN for Stable Image Synthesis 论文地址：https://arxiv.org/abs/1903.06048

Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory 论文地址：https://arxiv.org/abs/1911.04636

PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer 论文地址：https://arxiv.org/abs/1909.06956

Improved Few-Shot Visual Classification 论文地址：https://arxiv.org/pdf/1912.03432.pdf

Meta-Transfer Learning for Zero-Shot Super-Resolution 论文地址：https://arxiv.org/abs/2002.12213

Instance Credibility Inference for Few-Shot Learning 论文地址：https://arxiv.org/abs/2003.11853 代码：https://github.com/Yikai-Wang/ICI-FSL

Rethinking the Route Towards Weakly Supervised Object Localization 论文地址：https://arxiv.org/abs/2002.11359

NestedVAE: Isolating Common Factors via Weak Supervision 论文地址：https://arxiv.org/abs/2002.11576

Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation 论文地址：https://arxiv.org/abs/1911.07450

Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction 论文地址：https://arxiv.org/abs/2003.01460

ClusterFit: Improving Generalization of Visual Representations 论文地址：https://arxiv.org/abs/1912.03330

Auto-Encoding Twin-Bottleneck Hashing 论文地址：https://arxiv.org/abs/2002.11930

Learning Representations by Predicting Bags of Visual Words 论文地址：https://arxiv.org/abs/2002.12247

A Characteristic Function Approach to Deep Implicit Generative Modeling 论文地址：https://arxiv.org/abs/1909.07425

Unsupervised Learning of Intrinsic Structural Representation Points 论文地址：https://arxiv.org/abs/2003.01661 代码：https://github.com/NolenChen/3DStructurePoints

Cross-modality Person re-identification with Shared-Specific Feature Transfer 论文地址：https://arxiv.org/abs/2002.12489

Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction 论文地址：https://arxiv.org/abs/2002.11927

The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction 论文地址：https://arxiv.org/abs/1912.06445

GhostNet: More Features from Cheap Operations 论文地址：https://arxiv.org/abs/1911.11907 代码：https://github.com/iamhankai/ghostnet

Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral 论文地址：https://arxiv.org/abs/2003.01826

GPU-Accelerated Mobile Multi-view Style Transfer 论文地址：https://arxiv.org/abs/2003.00706

Bundle Adjustment on a Graph Processor 论文地址：https://arxiv.org/abs/2003.03134 代码：https://github.com/joeaortiz/gbp

Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral 论文地址：https://arxiv.org/abs/2003.01826

Holistically-Attracted Wireframe Parsing 论文地址：https://arxiv.org/abs/2003.01663

AdderNet: Do We Really Need Multiplications in Deep Learning? 论文地址：https://arxiv.org/abs/1912.13200

CARS: Contunuous Evolution for Efficient Neural Architecture Search 论文地址：https://arxiv.org/abs/1909.04977 代码：https://github.com/huawei-noah/CARS

Π-nets: Deep Polynomial Neural Networksv 论文地址：https://arxiv.org/abs/2003.03828

Explaining Knowledge Distillation by Quantifying the Knowledge 论文地址：https://arxiv.org/abs/2003.03622

Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution 论文地址：https://arxiv.org/abs/2002.11616

Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution 论文地址：https://arxiv.org/abs/2003.07018 代码：https://github.com/guoyongcs/DRN

Visual Commonsense R-CNN 论文地址：https://arxiv.org/abs/2002.12204 代码：https://github.com/Wangt-CN/VC-R-CNN

Scalable Uncertainty for Computer Vision with Functional Variational Inference 论文地址：https://arxiv.org/abs/2003.03396

Deep Representation Learning on Long-tailed Data: A Learnable Embedding Augmentation Perspective 论文地址：https://arxiv.org/abs/2002.10826

Representations, Metrics and Statistics For Shape Analysis of Elastic Graphs 论文地址：https://arxiv.org/abs/2003.00287

Filter Grafting for Deep Neural Networks 论文地址：https://arxiv.org/abs/2001.05868 代码：https://github.com/fxmeng/filter-grafting.git

12-in-1: Multi-Task Vision and Language Representation Learning 论文地址：https://arxiv.org/abs/1912.02315

Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training 论文地址：https://arxiv.org/abs/2002.10638 代码：https://github.com/weituo12321/PREVALENT

Unbiased Scene Graph Generation from Biased Training 论文地址：https://arxiv.org/abs/2002.11949

Towards Visually Explaining Variational Autoencoders 论文地址：https://arxiv.org/abs/1911.07389

BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition 论文地址：http://www.weixiushen.com/publication/cvpr20_BBN.pdf 代码：https://github.com/Megvii-Nanjing/BBN

High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks 论文地址：https://arxiv.org/abs/1905.13545

SAM: The Sensitivity of Attribution Methods to Hyperparameters 论文地址：http://s.anhnguyen.me/sam_cvpr2020.pdf 代码：https://github.com/anguyen8/sam

Π− nets: Deep Polynomial Neural Networks 论文地址：https://arxiv.org/abs/2003.03828

Towards Backward-Compatible Representation Learning 论文地址：https://arxiv.org/abs/2003.11942

On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location 论文地址：https://arxiv.org/abs/2003.07064

KeypointNet: A Large-scale 3D Keypoint Dataset Aggregated from Numerous Human Annotations（数据集） 论文地址：https://arxiv.org/abs/2002.12687