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Models/ED-Pose (Swin-L)

ED-Pose (Swin-L)

Reported on 16 benchmarks across 4 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision8 results

  • Pose EstimationonCrowdPose
    AP Easy· uses extra data· 2023-02-03
    83
    best: 88.8 (RTMO-l)
    Explicit Box Detection Unifies End-to-End Multi-Person Pose EstimationarXiv:2302.01593
  • Pose EstimationonCrowdPose
    AP Hard· uses extra data· 2023-02-03
    68.3
    best: 466 (DETRPose-N)
    Explicit Box Detection Unifies End-to-End Multi-Person Pose EstimationarXiv:2302.01593
  • Pose EstimationonCrowdPose
    AP Medium· uses extra data· 2023-02-03
    77.3
    best: 566 (DETRPose-N)
    Explicit Box Detection Unifies End-to-End Multi-Person Pose EstimationarXiv:2302.01593
  • Pose EstimationonCrowdPose
    mAP @0.5:0.95· uses extra data· 2023-02-03
    76.6
    best: 83.8 (RTMO-l)
    Explicit Box Detection Unifies End-to-End Multi-Person Pose EstimationarXiv:2302.01593
  • Multi-Person Pose EstimationonCrowdPose
    AP Easy· uses extra data· 2023-02-03
    83
    best: 88.8 (RTMO-l)
    Explicit Box Detection Unifies End-to-End Multi-Person Pose EstimationarXiv:2302.01593
  • Multi-Person Pose EstimationonCrowdPose
    AP Hard· uses extra data· 2023-02-03
    68.3
    best: 466 (DETRPose-N)
    Explicit Box Detection Unifies End-to-End Multi-Person Pose EstimationarXiv:2302.01593
  • Multi-Person Pose EstimationonCrowdPose
    AP Medium· uses extra data· 2023-02-03
    77.3
    best: 566 (DETRPose-N)
    Explicit Box Detection Unifies End-to-End Multi-Person Pose EstimationarXiv:2302.01593
  • Multi-Person Pose EstimationonCrowdPose
    mAP @0.5:0.95· uses extra data· 2023-02-03
    76.6
    best: 83.8 (RTMO-l)
    Explicit Box Detection Unifies End-to-End Multi-Person Pose EstimationarXiv:2302.01593

Methodology4 results

  • 3DonCrowdPose
    AP Easy· uses extra data· 2023-02-03
    83
    best: 88.8 (RTMO-l)
    Explicit Box Detection Unifies End-to-End Multi-Person Pose EstimationarXiv:2302.01593
  • 3DonCrowdPose
    AP Hard· uses extra data· 2023-02-03
    68.3
    best: 466 (DETRPose-N)
    Explicit Box Detection Unifies End-to-End Multi-Person Pose EstimationarXiv:2302.01593
  • 3DonCrowdPose
    AP Medium· uses extra data· 2023-02-03
    77.3
    best: 566 (DETRPose-N)
    Explicit Box Detection Unifies End-to-End Multi-Person Pose EstimationarXiv:2302.01593
  • 3DonCrowdPose
    mAP @0.5:0.95· uses extra data· 2023-02-03
    76.6
    best: 83.8 (RTMO-l)
    Explicit Box Detection Unifies End-to-End Multi-Person Pose EstimationarXiv:2302.01593

Audio4 results

  • 1 Image, 2*2 StitchionCrowdPose
    AP Easy· uses extra data· 2023-02-03
    83
    best: 88.8 (RTMO-l)
    Explicit Box Detection Unifies End-to-End Multi-Person Pose EstimationarXiv:2302.01593
  • 1 Image, 2*2 StitchionCrowdPose
    AP Hard· uses extra data· 2023-02-03
    68.3
    best: 466 (DETRPose-N)
    Explicit Box Detection Unifies End-to-End Multi-Person Pose EstimationarXiv:2302.01593
  • 1 Image, 2*2 StitchionCrowdPose
    AP Medium· uses extra data· 2023-02-03
    77.3
    best: 566 (DETRPose-N)
    Explicit Box Detection Unifies End-to-End Multi-Person Pose EstimationarXiv:2302.01593
  • 1 Image, 2*2 StitchionCrowdPose
    mAP @0.5:0.95· uses extra data· 2023-02-03
    76.6
    best: 83.8 (RTMO-l)
    Explicit Box Detection Unifies End-to-End Multi-Person Pose EstimationarXiv:2302.01593