manuel-z / cvpr2022-papers-with-code

CVPR 2022 论文和开源项目合集

CVPR 2021 论文和开源项目合集(Papers with Code)

CVPR 2022 论文和开源项目合集(papers with code)！

CVPR 2022 收录列表ID：https://drive.google.com/file/d/15JFhfPboKdUcIH9LdbCMUFmGq_JhaxhC/view

注1：欢迎各位大佬提交issue，分享CVPR 2022论文和开源项目！

注2：关于往年CV顶会论文以及其他优质CV论文和大盘点，详见： https://github.com/amusi/daily-paper-computer-vision

• CVPR 2019
• CVPR 2020
• CVPR 2021

如果你想了解最新最优质的的CV论文、开源项目和学习资料，欢迎扫码加入【CVer学术交流群】！互相学习，一起进步~

【CVPR 2022 论文开源目录】

• Backbone
• CLIP
• NeRF
• Visual Transformer
• 目标检测(Object Detection)
• 语义分割(Semantic Segmentation)
• 3D点云(3D Point Cloud)
• 3D目标检测(3D Object Detection)
• 3D人体姿态估计(3D Human Pose Estimation)
• 场景图生成(Scene Graph Generation)
• 数据集(Datasets)
• 其他(Others)

CLIP

PointCLIP: Point Cloud Understanding by CLIP

• Paper: https://arxiv.org/abs/2112.02413
• Code: https://github.com/ZrrSkywalker/PointCLIP

NeRF

Point-NeRF: Point-based Neural Radiance Fields

• Homepage: https://xharlie.github.io/projects/project_sites/pointnerf/
• Paper: https://arxiv.org/abs/2201.08845
• Code: https://github.com/Xharlie/point-nerf

Visual Transformer

Embracing Single Stride 3D Object Detector with Sparse Transformer

• Paper: https://arxiv.org/abs/2112.06375

• Code: https://github.com/TuSimple/SST

目标检测(Object Detection)

DN-DETR: Accelerate DETR Training by Introducing Query DeNoising

• Paper: https://arxiv.org/abs/2203.01305
• Code: https://github.com/FengLi-ust/DN-DETR

Localization Distillation for Dense Object Detection

• Paper: https://arxiv.org/abs/2102.12252
• Code: https://github.com/HikariTJU/LD
• Code2: https://github.com/HikariTJU/LD
• 中文解读：https://mp.weixin.qq.com/s/dxss8RjJH283h6IbPCT9vg

语义分割(Semantic Segmentation)

半监督语义分割

ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation

• Paper: https://arxiv.org/abs/2106.05095

• Code: https://github.com/LiheYoung/ST-PlusPlus

3D点云(3D Point Cloud)

A Unified Query-based Paradigm for Point Cloud Understanding

• Paper: https://arxiv.org/abs/2203.01252
• Code: None

CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding

• Paper: https://arxiv.org/abs/2203.00680
• Code: https://github.com/MohamedAfham/CrossPoint

PointCLIP: Point Cloud Understanding by CLIP

• Paper: https://arxiv.org/abs/2112.02413
• Code: https://github.com/ZrrSkywalker/PointCLIP

3D目标检测(3D Object Detection)

Embracing Single Stride 3D Object Detector with Sparse Transformer

• Paper: https://arxiv.org/abs/2112.06375

• Code: https://github.com/TuSimple/SST

Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D Scenes

• Paper: https://arxiv.org/abs/2011.12001
• Code: https://github.com/qq456cvb/CanonicalVoting

3D人体姿态估计(3D Human Pose Estimation)

MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video

• Paper: https://arxiv.org/abs/2203.00859
• Code: None

场景图生成(Scene Graph Generation)

SGTR: End-to-end Scene Graph Generation with Transformer

• Paper: https://arxiv.org/abs/2112.12970
• Code: None

数据集(Datasets)

It's About Time: Analog Clock Reading in the Wild

• Homepage: https://charigyang.github.io/abouttime/

• Paper: https://arxiv.org/abs/2111.09162

• Code: https://github.com/charigyang/itsabouttime

• Demo: https://youtu.be/cbiMACA6dRc

其他(Others)

It's About Time: Analog Clock Reading in the Wild

• Homepage: https://charigyang.github.io/abouttime/

• Paper: https://arxiv.org/abs/2111.09162

• Code: https://github.com/charigyang/itsabouttime

• Demo: https://youtu.be/cbiMACA6dRc