CVPR 2020 论文开源项目合集

CVPR2020-Code

CVPR 2020 论文开源项目合集，同时欢迎各位大佬提交issue，分享CVPR 2020开源项目

• 图像分类
• 目标检测
• 3D目标检测
• 目标跟踪
• 语义分割
• 实例分割
• 视频目标分割
• NAS
• GAN
• Re-ID
• 3D点云
• 人脸检测
• 活体检测
• 人脸表情识别
• 人体姿态估计
• 场景文本检测
• 场景文本识别
• 模型剪枝
• 行为识别
• 人群计数
• 深度估计
• 视觉问答
• 视觉语言导航
• 视频压缩
• 行为轨迹预测
• 数据集
• 其他
• 不确定中没中

图像分类

Spatially Attentive Output Layer for Image Classification

• 论文：还没有公布

• 代码： https://github.com/ildoonet/spatially-attentive-output-layer

目标检测

Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection

• 论文：https://arxiv.org/abs/1912.02424
• 代码：https://github.com/sfzhang15/ATSS

BiDet: An Efficient Binarized Object Detector

• 论文：https://arxiv.org/abs/2003.03961
• 代码：https://github.com/ZiweiWangTHU/BiDet

3D目标检测

Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud

• 论文：https://arxiv.org/abs/2003.01251
• 代码：https://github.com/WeijingShi/Point-GNN

目标跟踪

MAST: A Memory-Augmented Self-supervised Tracker

• 论文：https://arxiv.org/abs/2002.07793

• 代码：https://github.com/zlai0/MAST

语义分割

Cars Can't Fly up in the Sky: Improving Urban-Scene Segmentation via Height-driven Attention Networks

• 论文：https://arxiv.org/abs/2003.05128

• 代码：https://github.com/shachoi/HANet

实例分割

PolarMask: Single Shot Instance Segmentation with Polar Representation

• 论文：https://arxiv.org/abs/1909.13226
• 代码：https://github.com/xieenze/PolarMask
• 解读：https://zhuanlan.zhihu.com/p/84890413

CenterMask : Real-Time Anchor-Free Instance Segmentation

• 论文：https://arxiv.org/abs/1911.06667
• 代码：https://github.com/youngwanLEE/CenterMask

Deep Snake for Real-Time Instance Segmentation

• 论文：https://arxiv.org/abs/2001.01629

• 代码：https://github.com/zju3dv/snake

视频目标分割

State-Aware Tracker for Real-Time Video Object Segmentation

• 论文：https://arxiv.org/abs/2003.00482

• 代码：https://github.com/MegviiDetection/video_analyst

Learning Fast and Robust Target Models for Video Object Segmentation

• 论文：https://arxiv.org/abs/2003.00908
• 代码：https://github.com/andr345/frtm-vos

NAS

Rethinking Performance Estimation in Neural Architecture Search

• 论文：准备中
• 代码：https://github.com/zhengxiawu/rethinking_performance_estimation_in_NAS
• 解读：https://www.zhihu.com/question/372070853/answer/1035234510

CARS: Continuous Evolution for Efficient Neural Architecture Search

• 论文：https://arxiv.org/abs/1909.04977
• 代码（即将开源）：https://github.com/huawei-noah/CARS

GAN

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

• 论文：https://arxiv.org/abs/2003.01826
• 代码：https://github.com/cc-hpc-itwm/UpConv

Re-ID

Weakly supervised discriminative feature learning with state information for person identification

• 论文：https://arxiv.org/abs/2002.11939
• 代码：https://github.com/KovenYu/state-information

3D点云

点云卷积

FPConv: Learning Local Flattening for Point Convolution

• 论文：https://arxiv.org/abs/2002.10701
• 代码：https://github.com/lyqun/FPConv

3D点云配准

D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features

• 论文：https://arxiv.org/abs/2003.03164
• 代码：https://github.com/XuyangBai/D3Feat

人脸检测

活体检测

Searching Central Difference Convolutional Networks for Face Anti-Spoofing

• 论文：https://arxiv.org/abs/2003.04092

• 代码：https://github.com/ZitongYu/CDCN

人脸表情识别

Suppressing Uncertainties for Large-Scale Facial Expression Recognition

• 论文：https://arxiv.org/abs/2002.10392

• 代码（即将开源）：https://github.com/kaiwang960112/Self-Cure-Network

人体姿态估计

2D人体姿态估计

The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation

• 论文：https://arxiv.org/abs/1911.07524
• 代码：https://github.com/HuangJunJie2017/UDP-Pose
• 解读：https://zhuanlan.zhihu.com/p/92525039

Distribution-Aware Coordinate Representation for Human Pose Estimation

• 主页：https://ilovepose.github.io/coco/

• 论文：https://arxiv.org/abs/1910.06278

• 代码：https://github.com/ilovepose/DarkPose

3D人体姿态估计

Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation

• 论文：暂无

• 代码：https://github.com/anonymous-goat/CVPR-2020

VIBE: Video Inference for Human Body Pose and Shape Estimation

• 论文：https://arxiv.org/abs/1912.05656
• 代码：https://github.com/mkocabas/VIBE

Back to the Future: Joint Aware Temporal Deep Learning 3D Human Pose Estimation

• 论文：https://arxiv.org/abs/2002.11251
• 代码：https://github.com/vnmr/JointVideoPose3D

Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS

• 论文：https://arxiv.org/abs/2003.03972
• 数据集：暂无

点云

点云分类

PointAugment: an Auto-Augmentation Framework for Point Cloud Classification

• 论文：https://arxiv.org/abs/2002.10876
• 代码（即将开源）： https://github.com/liruihui/PointAugment/

场景文本检测

ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network

• 论文：https://arxiv.org/abs/2002.10200
• 代码（即将开源）：https://github.com/Yuliang-Liu/bezier_curve_text_spotting
• 代码（即将开源）：https://github.com/aim-uofa/adet

场景文本识别

ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network

• 论文：https://arxiv.org/abs/2002.10200
• 代码（即将开源）：https://github.com/aim-uofa/adet

超分辨率

视频超分辨率

Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution

• 论文：https://arxiv.org/abs/2002.11616
• 代码：https://github.com/Mukosame/Zooming-Slow-Mo-CVPR-2020

模型剪枝

HRank: Filter Pruning using High-Rank Feature Map

• 论文：http://arxiv.org/abs/2002.10179
• 代码：https://github.com/lmbxmu/HRank

行为识别

人群计数

深度估计

单目深度估计

Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation

• 论文：https://arxiv.org/abs/2002.12114

• 代码：https://github.com/yzhao520/ARC

去模糊

视频去模糊

Cascaded Deep Video Deblurring Using Temporal Sharpness Prior

• 主页：https://csbhr.github.io/projects/cdvd-tsp/index.html
• 论文：准备中
• 代码：https://github.com/csbhr/CDVD-TSP

视觉问答

视觉问答

VC R-CNN：Visual Commonsense R-CNN

• 论文：https://arxiv.org/abs/2002.12204
• 代码：https://github.com/Wangt-CN/VC-R-CNN

视觉语言导航

Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training

• 论文：https://arxiv.org/abs/2002.10638
• 代码（即将开源）：https://github.com/weituo12321/PREVALENT

视频压缩

Learning for Video Compression with Hierarchical Quality and Recurrent Enhancement

• 论文：https://arxiv.org/abs/2003.01966
• 代码：https://github.com/RenYang-home/HLVC

行人轨迹预测

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

• 论文：https://arxiv.org/abs/2002.11927
• 代码：https://github.com/abduallahmohamed/Social-STGCNN

数据集

IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning

• 论文：https://arxiv.org/abs/2003.02920
• 数据集：https://github.com/intra3d2019/IntrA

Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS

• 论文：https://arxiv.org/abs/2003.03972
• 数据集：暂无

其他

GhostNet: More Features from Cheap Operations

• 论文：https://arxiv.org/abs/1911.11907

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

AdderNet: Do We Really Need Multiplications in Deep Learning?

• 论文：https://arxiv.org/abs/1912.13200
• 代码：https://github.com/huawei-noah/AdderNet

Deep Image Harmonization via Domain Verification

• 论文：https://arxiv.org/abs/1911.13239
• 代码：https://github.com/bcmi/Image_Harmonization_Datasets

Blurry Video Frame Interpolation

• 论文：https://arxiv.org/abs/2002.12259
• 代码：https://github.com/laomao0/BIN

Extremely Dense Point Correspondences using a Learned Feature Descriptor

• 论文：https://arxiv.org/abs/2003.00619
• 代码：https://github.com/lppllppl920/DenseDescriptorLearning-Pytorch

Filter Grafting for Deep Neural Networks

• 论文：https://arxiv.org/abs/2001.05868
• 代码：https://github.com/fxmeng/filter-grafting
• 论文解读：https://www.zhihu.com/question/372070853/answer/1041569335

Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation

• 论文：https://arxiv.org/abs/2003.02824
• 代码：https://github.com/cmhungsteve/SSTDA

Detecting Attended Visual Targets in Video

• 论文：https://arxiv.org/abs/2003.02501

• 代码：https://github.com/ejcgt/attention-target-detection

Deep Image Spatial Transformation for Person Image Generation

• 论文：https://arxiv.org/abs/2003.00696
• 代码：https://github.com/RenYurui/Global-Flow-Local-Attention

Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications

• 论文：https://arxiv.org/abs/2003.01455
• 代码：https://github.com/bbrattoli/ZeroShotVideoClassification

https://github.com/charlesCXK/3D-SketchAware-SSC

https://github.com/Anonymous20192020/Anonymous_CVPR5767

https://github.com/avirambh/ScopeFlow

https://github.com/csbhr/CDVD-TSP

https://github.com/ymcidence/TBH

https://github.com/yaoyao-liu/mnemonics

https://github.com/meder411/Tangent-Images

https://github.com/KaihuaTang/Scene-Graph-Benchmark.pytorch

https://github.com/sjmoran/deep_local_parametric_filters

https://github.com/charlesCXK/3D-SketchAware-SSC

https://github.com/bermanmaxim/AOWS