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

• 目标检测
• 目标跟踪
• 语义分割
• 实例分割
• GAN
• 人脸检测
• 人脸表情识别
• 人体姿态估计
• 场景文本检测
• 场景文本识别
• 行为识别
• 人群计数
• 深度估计
• 视觉语言导航
• 其他
• 不确定中没中

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

目标跟踪

MAST: A Memory-Augmented Self-supervised Tracker

• 不确定中没中

• 论文：https://arxiv.org/abs/2002.07793

• 代码：https://github.com/zlai0/MAST

语义分割

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

GAN

NAS

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

人脸检测

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

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

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

视觉语言导航

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

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

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

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

不确定中没中

FADNet: A Fast and Accurate Network for Disparity Estimation

• 论文：还没出来
• 代码：https://github.com/HKBU-HPML/FADNet

https://github.com/rFID-submit/RandomFID：不确定中没中

https://github.com/JackSyu/AE-MSR：不确定中没中

https://github.com/fastconvnets/cvpr2020：不确定中没中

https://github.com/aimagelab/meshed-memory-transformer：不确定中没中

https://github.com/TWSFar/CRGNet：不确定中没中

https://github.com/CVPR-2020/CDARTS：不确定中没中

https://github.com/anucvml/ddn-cvprw2020：不确定中没中

https://github.com/dl-model-recommend/model-trust：不确定中没中

https://github.com/apratimbhattacharyya18/CVPR-2020-Corr-Prior：不确定中没中

https://github.com/onetcvpr/O-Net：不确定中没中

https://github.com/502463708/Microcalcification_Detection：不确定中没中

https://github.com/anonymous-for-review/cvpr-2020-deep-smoke-machine：不确定中没中

https://github.com/anonymous-for-review/cvpr-2020-smoke-recognition-dataset：不确定中没中

https://github.com/cvpr-nonrigid/dataset：不确定中没中

https://github.com/theFool32/PPBA：不确定中没中

https://github.com/Realtime-Action-Recognition/Realtime-Action-Recognition