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
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- 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)
PointCLIP: Point Cloud Understanding by CLIP
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
Embracing Single Stride 3D Object Detector with Sparse Transformer
DN-DETR: Accelerate DETR Training by Introducing Query DeNoising
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
ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation
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
PointCLIP: Point Cloud Understanding by CLIP
Embracing Single Stride 3D Object Detector with Sparse Transformer
Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D Scenes
MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video
- Paper: https://arxiv.org/abs/2203.00859
- Code: None
SGTR: End-to-end Scene Graph Generation with Transformer
- Paper: https://arxiv.org/abs/2112.12970
- Code: None
It's About Time: Analog Clock Reading in the Wild
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Homepage: https://charigyang.github.io/abouttime/
It's About Time: Analog Clock Reading in the Wild