《Real-time 2D Multi-Person Pose Estimation on CPU：Lightweight OpenPose》论文笔记
参考代码：lightweight-human-pose-estimation.pytorch 1. 概述 导读：这篇文章是在OpenPose的基础上进行轻量化改进，从而使得整体网络能在Intel的CPU上达到实时的运行效果。对此文章的算法也是相当轻量级的只有410w的参数90亿的浮点运算，是含有两阶段优化OpenPose的15%，但是其AP（Average Precision）只降低了1个点。自然
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相关文章
- 1. 论文笔记：OpenPose（Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields）
- 2. Openpose论文阅读 | Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
- 3. openpose论文总结：Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
- 4. 论文学习笔记：OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
- 5. 论文笔记二：OpenPose（Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields部分
- 6. Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
- 7. 2D Pose Estimation
- 8. OpenPose——Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
- 9. OpenPose: Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields
- 10. # Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields