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Models/Pose2Seg

Pose2Seg

Reported on 6 benchmarks across 6 tasks · 1 paper

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

Computer Vision3 results

  • Pose EstimationonOCHuman
    Test AP· 2018-03-28
    23.8
    best: 93.3 (ViTPose (ViTAE-G, GT bounding boxes))
    Pose2Seg: Detection Free Human Instance SegmentationarXiv:1803.10683
  • Instance SegmentationonOCHuman
    AP· 2018-03-28
    23.8
    best: 55.2 (Pose2Seg (plus ground-truth keypoints))
    Pose2Seg: Detection Free Human Instance SegmentationarXiv:1803.10683
  • Human Instance SegmentationonOCHuman
    AP· 2018-03-28
    23.8
    best: 55.2 (Pose2Seg (plus ground-truth keypoints))
    Pose2Seg: Detection Free Human Instance SegmentationarXiv:1803.10683

Methodology1 result

  • 3DonOCHuman
    Test AP· 2018-03-28
    23.8
    best: 93.3 (ViTPose (ViTAE-G, GT bounding boxes))
    Pose2Seg: Detection Free Human Instance SegmentationarXiv:1803.10683

Knowledge Base1 result

  • 2D Human Pose EstimationonOCHuman
    Test AP· 2018-03-28
    23.8
    best: 48.3 (BBox-Mask-Pose 2x)
    Pose2Seg: Detection Free Human Instance SegmentationarXiv:1803.10683

Audio1 result

  • 1 Image, 2*2 StitchionOCHuman
    Test AP· 2018-03-28
    23.8
    best: 93.3 (ViTPose (ViTAE-G, GT bounding boxes))
    Pose2Seg: Detection Free Human Instance SegmentationarXiv:1803.10683