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Models/PoseWarper

PoseWarper

Reported on 8 benchmarks across 4 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 EstimationonPoseTrack2017
    Mean mAP· uses extra data· 2019-06-06
    77.94
    best: 79.2 (DCPose)
    SOTA
    Learning Temporal Pose Estimation from Sparsely-Labeled VideosarXiv:1906.04016
  • Pose EstimationonPoseTrack2018
    Mean mAP· uses extra data· 2019-06-06
    78
    best: 87.8 (Poseidon)
    SOTA
    Learning Temporal Pose Estimation from Sparsely-Labeled VideosarXiv:1906.04016
  • Multi-Person Pose EstimationonPoseTrack2017
    Mean mAP· uses extra data· 2019-06-06
    77.94
    best: 79.2 (DCPose)
    SOTA
    Learning Temporal Pose Estimation from Sparsely-Labeled VideosarXiv:1906.04016
  • Multi-Person Pose EstimationonPoseTrack2018
    Mean mAP· uses extra data· 2019-06-06
    78
    best: 87.8 (Poseidon)
    SOTA
    Learning Temporal Pose Estimation from Sparsely-Labeled VideosarXiv:1906.04016

Methodology2 results

  • 3DonPoseTrack2017
    Mean mAP· uses extra data· 2019-06-06
    77.94
    best: 79.2 (DCPose)
    SOTA
    Learning Temporal Pose Estimation from Sparsely-Labeled VideosarXiv:1906.04016
  • 3DonPoseTrack2018
    Mean mAP· uses extra data· 2019-06-06
    78
    best: 87.8 (Poseidon)
    SOTA
    Learning Temporal Pose Estimation from Sparsely-Labeled VideosarXiv:1906.04016

Audio2 results

  • 1 Image, 2*2 StitchionPoseTrack2017
    Mean mAP· uses extra data· 2019-06-06
    77.94
    best: 79.2 (DCPose)
    SOTA
    Learning Temporal Pose Estimation from Sparsely-Labeled VideosarXiv:1906.04016
  • 1 Image, 2*2 StitchionPoseTrack2018
    Mean mAP· uses extra data· 2019-06-06
    78
    best: 87.8 (Poseidon)
    SOTA
    Learning Temporal Pose Estimation from Sparsely-Labeled VideosarXiv:1906.04016