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Multi-Person Pose Estimation 벤치마크

Multi-Person Pose Estimation on COCO (Common Objects in Context)

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AP

0.649 0.6847 0.7205 0.7563 0.792 2016-11 2026-11 Associative Embedding — 0.655 (2016-11-16) Associative Embedding — 0.655 (2016-11-16) Associative Embedding — 0.655 (2016-11-16) Associative Embedding — 0.655 (2016-11-16) G-RMI* — 0.685 (2017-01-06) G-RMI — 0.649 (2017-01-06) G-RMI* — 0.685 (2017-01-06) G-RMI — 0.649 (2017-01-06) G-RMI* — 0.685 (2017-01-06) G-RMI — 0.649 (2017-01-06) G-RMI* — 0.685 (2017-01-06) G-RMI — 0.649 (2017-01-06) CPN+ — 0.73 (2017-11-20) CPN+ — 0.73 (2017-11-20) CPN+ — 0.73 (2017-11-20) CPN+ — 0.73 (2017-11-20) Pose Residual Network — 0.697 (2018-07-11) Pose Residual Network — 0.697 (2018-07-11) Pose Residual Network — 0.697 (2018-07-11) Pose Residual Network — 0.697 (2018-07-11) DarkPose — 0.774 (2019-10-14) DarkPose — 0.774 (2019-10-14) DarkPose — 0.774 (2019-10-14) DarkPose — 0.774 (2019-10-14) RSN — 0.792 (2020-03-09) RSN — 0.792 (2020-03-09) RSN — 0.792 (2020-03-09) RSN — 0.792 (2020-03-09) OpenPifPaf — 0.709 (2021-03-03) OpenPifPaf — 0.709 (2021-03-03) OpenPifPaf — 0.709 (2021-03-03) OpenPifPaf — 0.709 (2021-03-03) CenterGroup — 0.714 (2021-10-11) CenterGroup — 0.714 (2021-10-11) CenterGroup — 0.714 (2021-10-11) CenterGroup — 0.714 (2021-10-11) Supervising Self-Attention — 0.665 (2021-11-25) Supervising Self-Attention — 0.665 (2021-11-25) Supervising Self-Attention — 0.665 (2021-11-25) Supervising Self-Attention — 0.665 (2021-11-25) BAPose — 0.727 (2021-12-20) BAPose — 0.727 (2021-12-20) BAPose — 0.727 (2021-12-20) BAPose — 0.727 (2021-12-20) UniPose — 0.768 (2023-10-12) UniPose — 0.768 (2023-10-12) UniPose — 0.768 (2023-10-12) UniPose — 0.768 (2023-10-12) Associative Embedding — 0.655 (2016-11-16) G-RMI* — 0.685 (2017-01-06) CPN+ — 0.73 (2017-11-20) DarkPose — 0.774 (2019-10-14) RSN — 0.792 (2020-03-09)
RankModel APTest APValidation AP Extra Training Data PaperCodeYear
1 RSN 0.792–– Learning Delicate Local Representations for Multi-Person Pose Estimation open-mmlab/mmpose · chenyilun95/tf-cpn · caiyuanhao1998/RSN · +1 2020
2 DarkPose 0.774–– ✓ Distribution-Aware Coordinate Representation for Human Pose Estimation PaddlePaddle/PaddleDetection · open-mmlab/mmpose · leoxiaobin/deep-high-resolution-net.pytorch · +3 2019
3 UniPose 0.768–– ✓ X-Pose: Detecting Any Keypoints idea-research/x-pose · IDEA-Research/UniPose 2023
4 CPN+ 0.730–– Cascaded Pyramid Network for Multi-Person Pose Estimation chenyilun95/tf-cpn · caiyuanhao1998/RSN · megvii-detection/MSPN · +2 2017
5 BAPose 0.72771.272.7 BAPose: Bottom-Up Pose Estimation with Disentangled Waterfall Representations bmartacho/BAPose 2021
6 CenterGroup 0.71471.4– The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation dvl-tum/center-group 2021
7 OpenPifPaf 0.70970.971.0 OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association openpifpaf/openpifpaf · openpifpaf/openpifpafwebdemo · vita-epfl/openpifpaf · +3 2021
8 Pose Residual Network 0.697–– MultiPoseNet: Fast Multi-Person Pose Estimation using Pose Residual Network salihkaragoz/pose-residual-network-pytorch · SukhyunCho/NTU_motion_sim_annotations · danielperezr88/multiposenet-aries · +1 2018
9 G-RMI* 0.685–– Towards Accurate Multi-person Pose Estimation in the Wild 2017
10 Supervising Self-Attention 0.665–– Attend to Who You Are: Supervising Self-Attention for Keypoint Detection and Instance-Aware Association yangsenius/ssa 2021
11 Associative Embedding 0.655–– Associative Embedding: End-to-End Learning for Joint Detection and Grouping open-mmlab/mmpose · princeton-vl/pose-ae-train · raymon-tian/hourglass-facekeypoints-detection · +2 2016
12 G-RMI 0.649–– Towards Accurate Multi-person Pose Estimation in the Wild 2017
13 EvoPose2D-L –76.877.5 EvoPose2D: Pushing the Boundaries of 2D Human Pose Estimation using Accelerated Neuroevolution with Weight Transfer wmcnally/evopose2d 2020
14 PoseFix –76.777.3 PoseFix: Model-agnostic General Human Pose Refinement Network mks0601/PoseFix_RELEASE 2018
15 LitePose-S –56.756.8 Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation mit-han-lab/litepose 2022
16 RSN 0.792–– Learning Delicate Local Representations for Multi-Person Pose Estimation open-mmlab/mmpose · chenyilun95/tf-cpn · caiyuanhao1998/RSN · +1 2020
17 DarkPose 0.774–– ✓ Distribution-Aware Coordinate Representation for Human Pose Estimation PaddlePaddle/PaddleDetection · open-mmlab/mmpose · leoxiaobin/deep-high-resolution-net.pytorch · +3 2019
18 UniPose 0.768–– ✓ X-Pose: Detecting Any Keypoints idea-research/x-pose · IDEA-Research/UniPose 2023
19 CPN+ 0.730–– Cascaded Pyramid Network for Multi-Person Pose Estimation chenyilun95/tf-cpn · caiyuanhao1998/RSN · megvii-detection/MSPN · +2 2017
20 BAPose 0.72771.272.7 BAPose: Bottom-Up Pose Estimation with Disentangled Waterfall Representations bmartacho/BAPose 2021
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