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Deep High-Resolution Representation Learning for Human Pose Estimation論文解析
時間 2020-12-29
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High-Resoultion Net(HRNet)由微軟亞洲研究院和中科大提出,發表在CVPR2019。 模型的主要特點是在整個過程中特徵圖(Feature Map)始終保持高分辨率,這與之前主流方法思路上有很大的不同。在HRNet之前,2D人體姿態估計算法是採用(Hourglass/CPN/Simple Baseline/MSPN等)將高分辨率特徵圖下采樣至低分辨率,再從低分辨率特徵圖恢復至高
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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
3.
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