CVPR 2020在2月24日公布了所有接受论文ID，从论文ID公布以来，我们一直在对CVPR进行实时跟进，本文是对80篇CVPR 2020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，文首文末有论文合集打包下载，分享给大家学习。
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/YuliangLiu/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/2003.03134
代码：
https://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 of Visual 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
校对：林亦霖
