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Models/Mask-RCNN

Mask-RCNN

Reported on 18 benchmarks across 8 tasks · 1 paper

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

Methodology8 results

  • 3DoniSAID
    Average Precision· 2017-03-20
    36.5
    best: 47 (PANet++)
    Mask R-CNNarXiv:1703.06870
  • 3DonCOCO test-dev
    AP· 2017-03-20
    63.1
    best: 81.1 (ViTPose (ViTAE-G, ensemble))
    Mask R-CNNarXiv:1703.06870
  • 3DonCOCO test-dev
    AP50· 2017-03-20
    87.3
    best: 95 (ViTPose (ViTAE-G, ensemble))
    Mask R-CNNarXiv:1703.06870
  • 3DonCOCO test-dev
    AP75· 2017-03-20
    68.7
    best: 88.2 (ViTPose (ViTAE-G, ensemble))
    Mask R-CNNarXiv:1703.06870
  • 3DonCOCO test-dev
    APL· 2017-03-20
    71.4
    best: 86.5 (PoseBH-H)
    Mask R-CNNarXiv:1703.06870
  • 2D ClassificationoniSAID
    Average Precision· 2017-03-20
    36.5
    best: 47 (PANet++)
    Mask R-CNNarXiv:1703.06870
  • 2D Object DetectiononiSAID
    Average Precision· 2017-03-20
    36.5
    best: 47 (PANet++)
    Mask R-CNNarXiv:1703.06870
  • 16koniSAID
    Average Precision· 2017-03-20
    36.5
    best: 47 (PANet++)
    Mask R-CNNarXiv:1703.06870

Computer Vision6 results

  • Pose EstimationonCOCO test-dev
    AP· 2017-03-20
    63.1
    best: 81.1 (ViTPose (ViTAE-G, ensemble))
    Mask R-CNNarXiv:1703.06870
  • Pose EstimationonCOCO test-dev
    AP50· 2017-03-20
    87.3
    best: 95 (ViTPose (ViTAE-G, ensemble))
    Mask R-CNNarXiv:1703.06870
  • Pose EstimationonCOCO test-dev
    AP75· 2017-03-20
    68.7
    best: 88.2 (ViTPose (ViTAE-G, ensemble))
    Mask R-CNNarXiv:1703.06870
  • Pose EstimationonCOCO test-dev
    APL· 2017-03-20
    71.4
    best: 86.5 (PoseBH-H)
    Mask R-CNNarXiv:1703.06870
  • Object DetectiononiSAID
    Average Precision· 2017-03-20
    36.5
    best: 47 (PANet++)
    Mask R-CNNarXiv:1703.06870
  • Instance SegmentationoniSAID
    Average Precision· 2017-03-20
    36.5
    best: 40 (PANet++)
    Mask R-CNNarXiv:1703.06870

Audio4 results

  • 1 Image, 2*2 StitchionCOCO test-dev
    AP· 2017-03-20
    63.1
    best: 81.1 (ViTPose (ViTAE-G, ensemble))
    Mask R-CNNarXiv:1703.06870
  • 1 Image, 2*2 StitchionCOCO test-dev
    AP50· 2017-03-20
    87.3
    best: 95 (ViTPose (ViTAE-G, ensemble))
    Mask R-CNNarXiv:1703.06870
  • 1 Image, 2*2 StitchionCOCO test-dev
    AP75· 2017-03-20
    68.7
    best: 88.2 (ViTPose (ViTAE-G, ensemble))
    Mask R-CNNarXiv:1703.06870
  • 1 Image, 2*2 StitchionCOCO test-dev
    APL· 2017-03-20
    71.4
    best: 86.5 (PoseBH-H)
    Mask R-CNNarXiv:1703.06870