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

![](http://www.images.studyai.com/blog/20200311002818135.jpg)

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

代码:sfzhang15/ATSS

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

代码:youngwanLEE/CenterMask

8. PolarMask: Single Shot Instance Segmentation with Polar Representation

论文:PolarMask: Single Shot Instance Segmentation with Polar Representation

代码:xieenze/PolarMask

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

![](http://www.images.studyai.com/blog/20200311003231356.png)

1. ROAM: Recurrently Optimizing Tracking Model

论文:ROAM: Recurrently Optimizing Tracking Model

# 视频内容分析(理解)

![](http://www.images.studyai.com/blog/20200311003513839.jpg)

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

![](http://www.images.studyai.com/blog/20200311003340958.png)

1. Distribution-Aware Coordinate Representation for Human Pose Estimation

论文:Distribution-Aware Coordinate Representation for Human Pose Estimation

代码:ilovepose/DarkPose

2. VIBE: Video Inference for Human Body Pose and Shape Estimation

论文:VIBE: Video Inference for Human Body Pose and Shape Estimation

代码:mkocabas/VIBE

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

![](http://www.images.studyai.com/blog/20200311002906854.jpg)

1. GhostNet: More Features from Cheap Operations

论文:GhostNet: More Features from Cheap Operations

代码:huawei-noah/ghostnet

2. CARS: Contunuous Evolution for Efficient Neural Architecture Search

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

代码:huawei-noah/CARS

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

论文:Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral Distributions

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

![](http://www.images.studyai.com/blog/20200311003130441.jpg)

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

代码:giannisdaras/ylg

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

![](http://www.images.studyai.com/blog/20200311003605270.jpg)

1. PointAugment: an Auto-Augmentation Framework for Point Cloud Classification

论文:PointAugment: an Auto-Augmentation Framework for Point Cloud Classification

代码:liruihui/PointAugment

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

论文: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

![](http://www.images.studyai.com/blog/20200311002940314.jpg)

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

论文: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

代码:joeaortiz/gbp

# 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

代码:weituo12321/PREVALENT

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

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