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《HigherHRNet:Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation》论文笔记
时间 2021-01-02
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参考代码:HigherHRNet 1. 概述 导读:在bottom-up类型的人体关键点检测算法中,人物目标密集和人物目标过小都是算法表现不好的场景,对此这篇文章从特征提取的角度,在HRNet的基础上(用HRNet的输出并使用trasnpose卷积进行上采样)引入特征金字塔优化关键点检测算法HigherHRNet,算法从高分辨的特征金字塔学习scale-aware表达(train的时候是scale
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相关文章
1.
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2.
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4.
Deep High-Resolution Representation Learning for Human Pose Estimation论文解析
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