重磅 ！ CVPR2020最新计算机视觉论文代码分类打包下载

日前，计算机视觉三大顶会之一CVPR2020接收结果已经公布，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。这里和大家分享整理的论文和代码资源，文末有资源的打包下载链接。

一、CVPR 2020

CVPR 2020 将在西雅图举行，时间是 6 月 13-19 日。大会主席是 Gerard Medioni(南加州大学 & 亚马逊研究负责人，Amazon Go)，Ramin Zabih(康奈尔大学)和 Terry Boult(科罗拉多斯普林斯分校)程序主席是刘策(谷歌 & MIT)、Greg Mori(加拿大西蒙弗雷泽大学)，Kate Saenko(波士顿大学) 和 Silvio Savarese(斯坦福大学)。其中，华人程序主席刘策清华大学本硕，在 MIT 取得博士学位（CSAIL），2014 年加入谷歌，现任资深研究科学家。除了出任 CVPR 2020 联席程序主席，刘策还在 CVPR 2017 和 ICCV 2015 担任领域主席。

计算机视觉顶会CVPR2020官方今日发布接收论文列表（编号）：http://cvpr2020.thecvf.com/sites/default/files/2020-02/accepted_list.txt

二、 CVPR 2020论文分类

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

8. Visual Commonsense R-CNN
   论文地址：https://arxiv.org/abs/2002.12204

9. Out-of-distribution
   论文地址：https://arxiv.org/abs/2002.11297

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

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

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 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

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

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. 视频分析
   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

5. 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

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

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

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

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

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

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

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

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

三、资源打包下载

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