CVPR 2020 共收录 1470篇文章，根据当前的公布情况，人工智能学社整理了以下约100篇，分享给读者。
代码开源情况：详见每篇注释，当前共15篇开源。(持续更新中，可关注了解)。
算法主要领域：图像与视频处理，图像分类&检测&分割、视觉目标跟踪、视频内容分析、人体姿态估计、模型加速、网络架构搜索(NAS)、生成对抗(GAN)、光学字符识别(OCR)、人脸识别、三维重建等方向。 目录如下：
# 总目录
# 图像处理
1. Deep Image Harmonization via Domain Verification
论文：Deep Image Harmonization via Domain Verification
代码：bcmi/Image_Harmonization_Datasets
2. Learning to Shade Hand-drawn Sketches
论文：Learning to Shade Hand-drawn Sketches
3. Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data
论文：Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data
4. Single Image Reflection Removal through Cascaded Refinement
论文：https://arxiv.org/abs/1911.06634
5. RoutedFusion: Learning Real-time Depth Map Fusion
论文：https://arxiv.org/pdf/2001.04388.pdf
# 图像分类
1. Towards Robust Image Classification Using Sequential Attention Models
论文：Towards Robust Image Classification Using Sequential Attention Models
2. Self-training with Noisy Student improves ImageNet classification
论文：Self-training with Noisy Student improves ImageNet classification
3. Image Matching across Wide Baselines: From Paper to Practice
论文：Image Matching across Wide Baselines: From Paper to Practice
4. Improved Few-Shot Visual Classification
论文：https://arxiv.org/pdf/1912.03432.pdf
5. A General and Adaptive Robust Loss Function
论文：A General and Adaptive Robust Loss Function
6. Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks
论文：Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks
# 目标检测和分割
1. Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector
论文：Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector
2. Bridng the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection
论文：https://arxiv.org/abs/1912.02424
3. Semi-Supervised Semantic Image Segmentation with Self-correcting Networks
论文：Semi-Supervised Semantic Image Segmentation with Self-correcting Networks
4. Deep Snake for Real-Time Instance Segmentation
论文：Deep Snake for Real-Time Instance Segmentation
5. SketchGCN: Semantic Sketch Segmentation with Graph Convolutional Networks
论文：SketchGCN: Semantic Sketch Segmentation with Graph Convolutional Networks
6. xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation
论文：xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation
7. CenterMask : Real-Time Anchor-Free Instance Segmentation
论文：CenterMask : Real-Time Anchor-Free Instance Segmentation
8. PolarMask: Single Shot Instance Segmentation with Polar Representation
论文：PolarMask: Single Shot Instance Segmentation with Polar Representation
9. BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation
论文：BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation
# 视觉目标跟踪
1. ROAM: Recurrently Optimizing Tracking Model
论文：ROAM: Recurrently Optimizing Tracking Model
# 视频内容分析(理解)
1. Hierarchical Conditional Relation Networks for Video Question Answering
论文：Hierarchical Conditional Relation Networks for Video Question Answering
2. Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications
论文：Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications
代码：bbrattoli/ZeroShotVideoClassification
3. Action Modifiers:Learning from Adverbs in Instructional Video
论文：Action Modifiers: Learning from Adverbs in Instructional Videos
4. Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning
论文：Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning
5. Blurry Video Frame Interpolation
论文：Blurry Video Frame Interpolation
6. Object Relational Graph with Teacher-Recommended Learning for Video Captioning
论文：Object Relational Graph with Teacher-Recommended Learning for Video Captioning
7. Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs
论文：Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs
8. Learning Representations by Predicting Bags of Visual Words
论文：Learning Representations by Predicting Bags of Visual Words
9. Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution
论文：Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution
# 人体关键点检测和姿态估计
1. Distribution-Aware Coordinate Representation for Human Pose Estimation
论文：Distribution-Aware Coordinate Representation for Human Pose Estimation
2. VIBE: Video Inference for Human Body Pose and Shape Estimation
论文：VIBE: Video Inference for Human Body Pose and Shape Estimation
3. The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation
论文：The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation
4. Optimal least-squares solution to the hand-eye calibration problem
论文：Optimal least-squares solution to the hand-eye calibration problem
5. Distribution Aware Coordinate Representation for Human Pose Estimation
论文：Distribution-Aware Coordinate Representation for Human Pose Estimation
6. D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry
论文：D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry
7. Multi-Modal Domain Adaptation for Fine-Grained Action Recognition
论文：Multi-Modal Domain Adaptation for Fine-Grained Action Recognition
8. PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation
论文：https://arxiv.org/abs/1911.04231
9. 4D Association Graph for Realtime Multi-person Motion Capture Using Multiple Video Cameras
论文：4D Association Graph for Realtime Multi-person Motion Capture Using Multiple Video Cameras
# 模型轻量化和加速
1. GPU-Accelerated Mobile Multi-view Style Transfer
论文：GPU-Accelerated Mobile Multi-view Style Transfer
# 神经网络架构设计和搜索NAS
1. GhostNet: More Features from Cheap Operations
论文：GhostNet: More Features from Cheap Operations
2. CARS: Contunuous Evolution for Efficient Neural Architecture Search
论文：https://arxiv.org/pdf/1909.04977.pdf
3. Visual Commonsense R-CNN
论文：https://arxiv.org/abs/2002.12204
4. Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral
5. AdderNet: Do We Really Need Multiplications in Deep Learning?
论文：https://arxiv.org/pdf/1912.13200
6. Filter Grafting for Deep Neural Networks
论文：https://arxiv.org/pdf/2001.05868.pdf
# 生成对抗GAN
1. Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models
论文：Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models
2. MSG-GAN: Multi-Scale Gradient GAN for Stable Image Synthesis
论文：MSG-GAN: Multi-Scale Gradient GAN for Stable Image Synthesis
3. Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory
论文：Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory
# 三维点云&3D重建
1. PointAugment: an Auto-Augmentation Framework for Point Cloud Classification
论文：PointAugment: an Auto-Augmentation Framework for Point Cloud Classification
2. PF-Net: Point Fractal Network for 3D Point Cloud Completion
论文：PF-Net: Point Fractal Network for 3D Point Cloud Completion
3. Learning multiview 3D point cloud registration
论文：Learning multiview 3D point cloud registration
4. Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image
5. In Perfect Shape: Certifiably Optimal 3D Shape Reconstruction from 2D Landmarks
论文：https://arxiv.org/pdf/1911.11924.pdf
6. RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
论文：RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
7. C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds
论文：C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds
8. Representations, Metrics and Statistics For Shape Analysis of Elastic Graphs
论文：Representations, Metrics and Statistics For Shape Analysis of Elastic Graphs
9. Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion
论文：Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion
# 光学字符识别OCR
1. ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network
论文：ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network
代码：https://github.com/Yuliang-Liu/bezier_curve_text_spotting,https://github.com/aim-uofa/adet
# 迁移学习
1. Meta-Transfer Learning for Zero-Shot Super-Resolution
论文：Meta-Transfer Learning for Zero-Shot Super-Resolution
2. Transferring Dense Pose to Proximal Animal Classes
论文：Transferring Dense Pose to Proximal Animal Classes
# 弱监督 & 无监督学习
1. Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation
论文：Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation
2. Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction
论文：Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction
3. Rethinking the Route Towards Weakly Supervised Object Localization
论文：Rethinking the Route Towards Weakly Supervised Object Localization
4. NestedVAE: Isolating Common Factors via Weak Supervision
论文：NestedVAE: Isolating Common Factors via Weak Supervision
# 人脸识别
1. Towards Universal Representation Learning for Deep Face Recognition
论文：Towards Universal Representation Learning for Deep Face Recognition
2. Suppressing Uncertainties for Large-Scale Facial Expression Recognition
论文：Suppressing Uncertainties for Large-Scale Facial Expression Recognition
代码：kaiwang960112/Self-Cure-Network
3. Face X-ray for More General Face Forgery Detection
论文：https://arxiv.org/pdf/1912.13458.pdf
# 图神经网络GNN
1. Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction
2. Bundle Adjustment on a Graph Processor
论文：Bundle Adjustment on a Graph Processor
# 视觉 & 语言 混合任务研究
1. Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training
论文：Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training
2. 12-in-1: Multi-Task Vision and Language Representation Learning
论文：12-in-1: Multi-Task Vision and Language Representation Learning
3. Hierarchical Conditional Relation Networks for Video Question Answering
论文：Hierarchical Conditional Relation Networks for Video Question Answering
# 其他问题研究
1. What it Thinks is Important is Important: Robustness Transfers through Input Gradients
论文：https://arxiv.org/abs/1912.05699
2. Holistically-Attracted Wireframe Parsing
论文：Holistically-Attracted Wireframe Parsing
3. Attntive Context Normalization for Robust Permutation-Equivariant Learning
论文：Attentive Context Normalization for Robust Permutation-Equivariant Learning
5. ClusterFit: Improving Generalization of Visual Representations
论文：ClusterFit: Improving Generalization of Visual Representations
6. Learning in the Frequency Domain
论文：Learning in the Frequency Domain
7. A Characteristic Function Approach to Deep Implicit Generative Modeling
论文：A Characteristic Function Approach to Deep Implicit Generative Modeling
8. Auto-Encoding Twin-Bottleneck Hashing
论文：Auto-Encoding Twin-Bottleneck Hashing
# 论文打包下载地址
链接：https://pan.baidu.com/s/1lo3smbFWiBSNnut9JssYaQ
提取码：可在公众号内发送消息： cvpr2020
