CVPR2020在2月24日公布了所有接受论文ID，相关报道：https://mp.weixin.qq.com/s/HGxhcVvMWWMliqOoBZPQ-w。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，文末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

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

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

姿态估计

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

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

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

神经网络

1. Visual Commonsense R-CNN

论文地址：https://arxiv.org/abs/2002.12204

2. GhostNet: More Features from Cheap Operations

论文地址：https://arxiv.org/abs/1911.11907

代码：https://github.com/iamhankai/ghostnet

3. 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

模型加速

1. GPU-Accelerated Mobile Multi-view Style Transfer

论文地址：https://arxiv.org/abs/2003.00706

视觉常识

1. What it Thinks is Important is Important: Robustness Transfers through Input Gradients

论文地址：https://arxiv.org/abs/1912.05699 

2.Attentive Context Normalization for Robust Permutation-Equivariant Learning

论文地址：https://arxiv.org/abs/1907.02545

3. Bundle Adjustment on a Graph Processor

论文地址：https://arxiv.org/abs/2003.03134https://github.com/joeaortiz/gbp

4. Transferring Dense Pose to Proximal Animal Classes

论文地址：https://arxiv.org/abs/2003.00080

5. Representations, Metrics and Statistics For Shape Analysis of Elastic Graphs

论文地址：https://arxiv.org/abs/2003.00287

6. Learning in the Frequency Domain

论文地址：https://arxiv.org/abs/2002.12416

7.Filter Grafting for Deep Neural Networks

论文地址：https://arxiv.org/pdf/2001.05868.pdf

8.ClusterFit: Improving Generalization of Visual Representations

论文地址：https://arxiv.org/abs/1912.03330

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

论文地址：https://arxiv.org/abs/2002.11927

10.Auto-Encoding Twin-Bottleneck Hashing

论文地址：https://arxiv.org/abs/2002.11930

11.Learning Representations by Predicting Bags ofVisual Words

论文地址：https://arxiv.org/abs/2002.12247

12.Holistically-Attracted Wireframe Parsing

论文地址：https://arxiv.org/abs/2003.01663

13.A General and Adaptive Robust Loss Function

论文地址：https://arxiv.org/abs/1701.03077 

14.A Characteristic Function Approach to Deep Implicit Generative Modeling

论文地址：https://arxiv.org/abs/1909.07425

15.AdderNet: Do We Really Need Multiplications in Deep Learning?

 论文地址：https://arxiv.org/pdf/1912.13200 

16.12-in-1: Multi-Task Vision and Language Representation Learning

论文地址：https://arxiv.org/abs/1912.02315 

17.Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks

论文地址：https://arxiv.org/abs/1912.09393 

18.CARS: Contunuous Evolution for Efficient Neural Architecture Search

论文地址：https://arxiv.org/pdf/1909.04977.pdf 

代码：https://github.com/huawei-noah/CARS

19.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

为了方便大家阅读，小极已经将全部论文下载并打包。关注 极市平台 公众号，回复 CVPR2020 即可获取下载链接。同时，欢迎登陆极市社区：http://bbs.cvmart.net/articles/1538，后续论文收录会在这里 保持更新。