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Reported on 8 benchmarks across 5 tasks · 1 paper · 8 SOTA

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

Computer Vision4 results

  • Pose EstimationonMPII Single Person
    PCKh@0.5· 2018-04-21
    92.1
    best: 93 (4xRSN-50)
    SOTA
    Learning to Refine Human Pose EstimationarXiv:1804.07909
  • Pose EstimationonPoseTrack2018
    Mean mAP· 2018-04-21
    73.8
    best: 87.8 (Poseidon)
    SOTA
    Learning to Refine Human Pose EstimationarXiv:1804.07909
  • Multi-Person Pose Estimation and TrackingonPoseTrack2018
    MOTA· 2018-04-21
    58.4
    SOTA
    Learning to Refine Human Pose EstimationarXiv:1804.07909
  • Multi-Person Pose EstimationonPoseTrack2018
    Mean mAP· 2018-04-21
    73.8
    best: 87.8 (Poseidon)
    SOTA
    Learning to Refine Human Pose EstimationarXiv:1804.07909

Methodology2 results

  • 3DonMPII Single Person
    PCKh@0.5· 2018-04-21
    92.1
    best: 93 (4xRSN-50)
    SOTA
    Learning to Refine Human Pose EstimationarXiv:1804.07909
  • 3DonPoseTrack2018
    Mean mAP· 2018-04-21
    73.8
    best: 87.8 (Poseidon)
    SOTA
    Learning to Refine Human Pose EstimationarXiv:1804.07909

Audio2 results

  • 1 Image, 2*2 StitchionMPII Single Person
    PCKh@0.5· 2018-04-21
    92.1
    best: 93 (4xRSN-50)
    SOTA
    Learning to Refine Human Pose EstimationarXiv:1804.07909
  • 1 Image, 2*2 StitchionPoseTrack2018
    Mean mAP· 2018-04-21
    73.8
    best: 87.8 (Poseidon)
    SOTA
    Learning to Refine Human Pose EstimationarXiv:1804.07909