CVPR2020最全整理：分方向论文下载，Github源码、论文解读等[计算机视觉][目标检测]

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80篇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，还有论文合集打包下载，分享给大家学习。

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

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声明：本文为极市平台原创整理，未经许可，不得擅自转载。

目录（点击标题即可跳转）

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

1. 目标检测

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
   
   

图像分割

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
   
   

人脸识别

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
   
   

目标跟踪

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

https://arxiv.org/abs/1911.10949

图像处理

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
   
   

图像分类

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
    
    

视频分析

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
   
   

OCR

1. 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
   
   

GAN

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
   
   

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

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
   

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
   
   

超分辨率

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

视觉常识

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