讀書筆記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是兩個緊密相連的領域，但是總是被分開處理。然後自然地引出本文的模型，本文的模型就針對這個現狀
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- 2. 姿態估計「2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning」
- 3. 讀書筆記25：Temporal Hallucinating for Action Recognition with Few Still Images（CVPR2018）
- 4. Deep Learning Models and Code for Pose Estimation
- 5. 讀書筆記23：Recognizing Human Actions as the Evolution of Pose Estimation Maps（CVPR2018）
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相關文章
- 1. 論文翻譯：2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning
- 2. 姿態估計「2D/3D Pose Estimation and Action Recognition using Multitask Deep Learning」
- 3. 讀書筆記25：Temporal Hallucinating for Action Recognition with Few Still Images（CVPR2018）
- 4. Deep Learning Models and Code for Pose Estimation
- 5. 讀書筆記23：Recognizing Human Actions as the Evolution of Pose Estimation Maps（CVPR2018）
- 6. 讀書筆記5：Deep Progressive Reinforcement Learning for Skeleton-based Action Recognition
- 7. 3D Bounding Box Estimation Using Deep Learning and Geometry
- 8. 讀書筆記21：MiCT: Mixed 3D/2D Convolutional Tube for Human Action Recognition（CVPR2018）
- 9. cousera「Neural NetWorks and Deep learning"讀書筆記
- 10. Deep High-Resolution Representation Learning for Human Pose Estimation