CVPR2020 最全整理：论文汇总 / 代码 / 项目 / 论文解读（更新中）【计算机视觉】 -...

推荐阅读：CVPR2021 最全整理：论文汇总 / 代码 / 项目 / 论文解读（更新中）【计算机视觉】

作为计算机视觉领域三大顶会之一，CVPR2020目前已公布了所有接收论文ID，一共有1470篇论文被接收，接收率为22%，相比去年降低3个百分点，竞争越来越激烈，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）。

我们对CVPR2020的论文进行了汇总，并对优秀论文解读报道和技术直播，详见：

同时，我们对CVPR2020的论文以研究方向进行了分类，详见以下列表（持续更新）：

此前我们也对CVPR2019、CVPR2018的论文做了同样的整理，所有关于CVPR的论文整理都汇总在了我们的Github项目中，该项目已收获5700 Star：

Github项目地址：https://github.com/extreme-assistant/CVPR2021-Paper-Code-Interpretation

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

1. 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

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

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

4. 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

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

6. 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

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

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

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

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

5. 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

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

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

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

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

2. 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

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

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

5. 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

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

1. ROAM: Recurrently Optimizing Tracking Model
   
   论文地址：https://arxiv.org/abs/1907.12006

三维点云&重建

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

2. 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/

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

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

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

6. 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

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

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

9. 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

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

11. 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

12. 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

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

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

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

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

4. 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

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

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

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

8. 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

9. 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

10. 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

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

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

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

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

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

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

姿态估计/动作识别

1. 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

2. 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

3. 4D Association Graph for Realtime Multi-person Motion Capture Using Multiple Video Cameras
   
   论文地址：https://arxiv.org/abs/2002.12625

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

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

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

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

8. 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

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

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

11. 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

12. 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

1. 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

2. 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

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

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

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

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

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

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

9. 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

10. 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

11. 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

2.Iterative Answer Prediction with Pointer-Augmented Multimodal Transformers for TextVQA

论文地址：https://arxiv.org/abs/1911.06258

1. 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

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

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

4.PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer

论文地址：https://arxiv.org/abs/1909.06956

小样本/零样本

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

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

3. 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

弱监督/无监督/自监督

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

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

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

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

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

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

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

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

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

行人跟踪/行人检测/ReID

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

2.Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction

论文地址：https://arxiv.org/abs/2002.11927

3.The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction

论文地址：https://arxiv.org/abs/1912.06445

神经网络/模型压缩/模型加速

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

2. 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

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

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

5. 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

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

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

8. 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

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

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

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

2.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

视觉常识/其他

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

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

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

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

5. 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

6. 12-in-1: Multi-Task Vision and Language Representation Learning
   
   论文地址：https://arxiv.org/abs/1912.02315

7. 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

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

9.Towards Visually Explaining Variational Autoencoders

论文地址：https://arxiv.org/abs/1911.07389

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

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

3. SAM: The Sensitivity of Attribution Methods to Hyperparameters
   
   论文地址：https://s.anhnguyen.me/sam\_cvpr2020.pdf
   
   代码：https://github.com/anguyen8/sam

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

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

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

7. 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

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18342 2020-11-17 23:34:12

嗯嗯，现在好了

18342 2020-10-27 21:00:16

网盘链接又取消了吗，我来晚了

Find me 2020-11-16 18:05:48

@18342 可以看见的，你登陆看看

featherbones 2020-06-29 17:35:18

求补档....网盘已取消）

fuchao01 2020-06-10 11:18:33

网盘是空的？

Admin 2020-12-03 13:09:23

@fuchao01 今天更新