HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation
HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation解讀 一、文章來源 CVPR 2020 Indiana University Bloomington & University of Washington, Bardia Doosti, Shujon Naha等 code: http://vision.sice.indiana
相關文章
- 1. 學習總結《HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation》
- 2. 《Multi-Context Attention for Human Pose Estimation》
- 3. 3D Human Pose Estimation = 2D Pose Estimation + Matching(2017)
- 4. A 2020 Human Pose Estimation Review （Part3：2D Bottom-Up Multi-Person Pose Estimation）
- 5. Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation
- 6. A 2020 Human Pose Estimation Review （Part2：2D Top-Down Multi-Person Pose Estimation）
- 7. Real Time pose estimation of a textured object (solvePnP)
- 8. Stacked Hourglass Networks for Human Pose Estimation
- 9. Stacked Hourglass Network for Human Pose Estimation
- 10. Multi-Context Attention for Human Pose Estimation
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相關文章
- 1. 學習總結《HOPE-Net: A Graph-based Model for Hand-Object Pose Estimation》
- 2. 《Multi-Context Attention for Human Pose Estimation》
- 3. 3D Human Pose Estimation = 2D Pose Estimation + Matching(2017)
- 4. A 2020 Human Pose Estimation Review （Part3：2D Bottom-Up Multi-Person Pose Estimation）
- 5. Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation
- 6. A 2020 Human Pose Estimation Review （Part2：2D Top-Down Multi-Person Pose Estimation）
- 7. Real Time pose estimation of a textured object (solvePnP)
- 8. Stacked Hourglass Networks for Human Pose Estimation
- 9. Stacked Hourglass Network for Human Pose Estimation
- 10. Multi-Context Attention for Human Pose Estimation