RePose: Learning Deep Kinematic Priors for Fast Human Pose Estimation

时间 2020-12-24

标签 HumanPoseEstimation 繁體版

原文原文链接

单人pose模型文章，提出了一种基于kinematic structure来辅助模型对关键点进行定位，整体结构如下：模型是一个仿U-Net结构的网络结构，忽略U-Net的底部，先看下输出，模型会在不同的scale下进行upsample到原图分辨率大小进行heatmap输出，所以是个包含有多个loss的网络结构，重点看下上图中的绿色部分，也即是文章提出的Kinematic Features Upd

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1. (34) RePose: Learning Deep Kinematic Priors for Fast Human Pose Estimation
2. Fast Human Pose Estimation
3. Deep High-Resolution Representation Learning for Human Pose Estimation
4. Deep globally constrained MRFs for Human Pose Estimation
5. Deep Learning Models and Code for Pose Estimation
6. Learning Feature Pyramids for Human Pose Estimation（理解）
7. 《Multi-Context Attention for Human Pose Estimation》
8. March 11-Deep High-Resolution Representation Learning for Human Pose Estimation-paper reading
9. Deep High-Resolution Representation Learning for Human Pose Estimation论文翻译阅读 - 2019CVPR
10. Deep High-Resolution Representation Learning for Human Pose Estimation论文翻译

>>更多相关文章<<