《HigherHRNet：Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation》論文筆記
參考代碼：HigherHRNet 1. 概述 導讀：在bottom-up類型的人體關鍵點檢測算法中，人物目標密集和人物目標過小都是算法表現不好的場景，對此這篇文章從特徵提取的角度，在HRNet的基礎上（用HRNet的輸出並使用trasnpose卷積進行上採樣）引入特徵金字塔優化關鍵點檢測算法HigherHRNet，算法從高分辨的特徵金字塔學習scale-aware表達（train的時候是scale
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相關文章
- 1. Deep High-Resolution Representation Learning for Human Pose Estimation
- 2. Deep High-Resolution Representation Learning for Human Pose Estimation論文翻譯閱讀 - 2019CVPR
- 3. Deep High-Resolution Representation Learning for Human Pose Estimation論文翻譯
- 4. Deep High-Resolution Representation Learning for Human Pose Estimation論文解析
- 5. 人體姿態識別~HRNet論文筆記~《Deep High-Resolution Representation Learning for Human Pose Estimation》
- 6. (26) Distribution-Aware Coordinate Representation for Human Pose Estimation
- 7. 論文閱讀Distribution-Aware Coordinate Representation for Human Pose Estimation
- 8. March 11-Deep High-Resolution Representation Learning for Human Pose Estimation-paper reading
- 9. HigherHRNet: Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation (CVPR2020)
- 10. 姿態估計——HigherHRNet：Scale-Aware Representation Learning for Bottom-Up Human Pose Estimation