Multi-Person Pose Estimation with Enhanced Channel-wise and Spatial Information
CVPR19 多人位姿估計。baseline是CPN。 在CPN基礎上添加了兩個模塊：Channel Shuffle Module (CSM)和Spatial, Channel-wise Attention Residual Bottleneck (SCARB)。 a. CSM是在不同level的feature maps上做channel shuffel，目的是混合pyramid feature
相關文章
- 1. Multi-Person Pose Estimation with Enhanced Channel-wise and Spatial Information
- 2. Human Poe Estimation with Spatial Contextual Information
- 3. SPCNet: Spatial Preserve and Content-aware Network for Human Pose Estimation
- 4. Human Pose Estimation with Iterative Error Feedback
- 5. Deep Learning Models and Code for Pose Estimation
- 6. 3D Human Pose Estimation = 2D Pose Estimation + Matching(2017)
- 7. MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network
- 8. 3D human pose estimation in video with temporal convolutions and semi-supervised training
- 9. Multi person-pose estimation
- 10. Benchmarking and Error Diagnosis in Multi-Instance Pose Estimation
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相關文章
- 1. Multi-Person Pose Estimation with Enhanced Channel-wise and Spatial Information
- 2. Human Poe Estimation with Spatial Contextual Information
- 3. SPCNet: Spatial Preserve and Content-aware Network for Human Pose Estimation
- 4. Human Pose Estimation with Iterative Error Feedback
- 5. Deep Learning Models and Code for Pose Estimation
- 6. 3D Human Pose Estimation = 2D Pose Estimation + Matching(2017)
- 7. MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network
- 8. 3D human pose estimation in video with temporal convolutions and semi-supervised training
- 9. Multi person-pose estimation
- 10. Benchmarking and Error Diagnosis in Multi-Instance Pose Estimation