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Pose Estimation 벤치마크

Pose Estimation on BRACE

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Average Precision

0.158 0.2077 0.2575 0.3073 0.357 2019-02 2026-11 HRNet fine-tuned on BRACE — 0.357 (2019-02-25) HRNet pre-trained on COCO — 0.158 (2019-02-25) HRNet fine-tuned on BRACE — 0.357 (2019-02-25) HRNet pre-trained on COCO — 0.158 (2019-02-25) HRNet fine-tuned on BRACE — 0.357 (2019-02-25) HRNet pre-trained on COCO — 0.158 (2019-02-25) HRNet fine-tuned on BRACE — 0.357 (2019-02-25)
RankModel Average PrecisionAverage Recall PaperCodeYear
1 HRNet fine-tuned on BRACE 0.3570.445 Deep High-Resolution Representation Learning for Human Pose Estimation open-mmlab/mmdetection · PaddlePaddle/PaddleDetection · open-mmlab/mmpose · +36 2019
2 HRNet pre-trained on COCO 0.1580.202 Deep High-Resolution Representation Learning for Human Pose Estimation open-mmlab/mmdetection · PaddlePaddle/PaddleDetection · open-mmlab/mmpose · +36 2019
3 HRNet fine-tuned on BRACE 0.3570.445 Deep High-Resolution Representation Learning for Human Pose Estimation open-mmlab/mmdetection · PaddlePaddle/PaddleDetection · open-mmlab/mmpose · +36 2019
4 HRNet pre-trained on COCO 0.1580.202 Deep High-Resolution Representation Learning for Human Pose Estimation open-mmlab/mmdetection · PaddlePaddle/PaddleDetection · open-mmlab/mmpose · +36 2019
5 HRNet fine-tuned on BRACE 0.3570.445 Deep High-Resolution Representation Learning for Human Pose Estimation open-mmlab/mmdetection · PaddlePaddle/PaddleDetection · open-mmlab/mmpose · +36 2019
6 HRNet pre-trained on COCO 0.1580.202 Deep High-Resolution Representation Learning for Human Pose Estimation open-mmlab/mmdetection · PaddlePaddle/PaddleDetection · open-mmlab/mmpose · +36 2019
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