读书笔记25：2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning（CVPR2018）
http://openaccess.thecvf.com/content_cvpr_2018/papers/Luvizon_2D3D_Pose_Estimation_CVPR_2018_paper.pdf 摘要：首先指出背景，即action recognition和human pose estimation是两个紧密相连的领域，但是总是被分开处理。然后自然地引出本文的模型，本文的模型就针对这个现状
相关文章
- 1. 论文翻译：2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning
- 2. 姿态估计“2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning”
- 3. 读书笔记25：Temporal Hallucinating for Action Recognition with Few Still Images（CVPR2018）
- 4. Deep Learning Models and Code for Pose Estimation
- 5. 读书笔记23：Recognizing Human Actions as the Evolution of Pose Estimation Maps（CVPR2018）
- 6. 读书笔记5：Deep Progressive Reinforcement Learning for Skeleton-based Action Recognition
- 7. 3D Bounding Box Estimation Using Deep Learning and Geometry
- 8. 读书笔记21：MiCT: Mixed 3D/2D Convolutional Tube for Human Action Recognition（CVPR2018）
- 9. cousera“Neural NetWorks and Deep learning"读书笔记
- 10. Deep High-Resolution Representation Learning for Human Pose Estimation
- 更多相关文章...
- • Eclipse 添加书签 - Eclipse 教程
- • ASP.NET Razor - 标记 - ASP.NET 教程
- • Tomcat学习笔记（史上最全tomcat学习笔记）
- • JDK13 GA发布：5大特性解读
相关标签/搜索
每日一句
-
每一个你不满意的现在，都有一个你没有努力的曾经。
欢迎关注本站公众号,获取更多信息
相关文章
- 1. 论文翻译：2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning
- 2. 姿态估计“2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning”
- 3. 读书笔记25：Temporal Hallucinating for Action Recognition with Few Still Images（CVPR2018）
- 4. Deep Learning Models and Code for Pose Estimation
- 5. 读书笔记23：Recognizing Human Actions as the Evolution of Pose Estimation Maps（CVPR2018）
- 6. 读书笔记5：Deep Progressive Reinforcement Learning for Skeleton-based Action Recognition
- 7. 3D Bounding Box Estimation Using Deep Learning and Geometry
- 8. 读书笔记21：MiCT: Mixed 3D/2D Convolutional Tube for Human Action Recognition（CVPR2018）
- 9. cousera“Neural NetWorks and Deep learning"读书笔记
- 10. Deep High-Resolution Representation Learning for Human Pose Estimation