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Models/CPN

CPN

Reported on 34 benchmarks across 5 tasks · 2 papers

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

Audio16 results

  • 10-shot image generationonPASCAL VOC 2012 val
    Mean IoU· 2021-08-09
    67.8
    best: 83.4 (SemPLeS (Swin-L))
    Complementary Patch for Weakly Supervised Semantic SegmentationarXiv:2108.03852
  • 10-shot image generationonPASCAL VOC 2012 test
    Mean IoU· 2021-08-09
    68.5
    best: 82.9 (SemPLeS (Swin-L))
    Complementary Patch for Weakly Supervised Semantic SegmentationarXiv:2108.03852
  • 1 Image, 2*2 StitchionCOCO test-dev
    AP· 2017-11-20
    72.1
    best: 81.1 (ViTPose (ViTAE-G, ensemble))
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • 1 Image, 2*2 StitchionCOCO test-dev
    AP50· 2017-11-20
    91.4
    best: 95 (ViTPose (ViTAE-G, ensemble))
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • 1 Image, 2*2 StitchionCOCO test-dev
    AP75· 2017-11-20
    80
    best: 88.2 (ViTPose (ViTAE-G, ensemble))
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • 1 Image, 2*2 StitchionCOCO test-dev
    APL· 2017-11-20
    77.2
    best: 86.5 (PoseBH-H)
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • 1 Image, 2*2 StitchionCOCO test-dev
    AR· 2017-11-20
    78.5
    best: 88.2 (Simple Pose)
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • 1 Image, 2*2 StitchionCOCO test-dev
    AP50· 2017-11-20
    91.4
    best: 95 (ViTPose (ViTAE-G, ensemble))
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • 1 Image, 2*2 StitchionCOCO test-dev
    AP75· 2017-11-20
    80
    best: 88.2 (ViTPose (ViTAE-G, ensemble))
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • 1 Image, 2*2 StitchionCOCO test-dev
    APL· 2017-11-20
    77.2
    best: 86.5 (PoseBH-H)
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • 1 Image, 2*2 StitchionCOCO test-dev
    APM· 2017-11-20
    68.7
    best: 83.8 (4xRSN-50 (ensemble))
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • 1 Image, 2*2 StitchionCOCO test-dev
    AR· 2017-11-20
    78.5
    best: 88.2 (Simple Pose)
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • 1 Image, 2*2 StitchionCOCO test-dev
    AR50· 2017-11-20
    95.1
    best: 96.3 (MSPN)
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • 1 Image, 2*2 StitchionCOCO test-dev
    AR75· 2017-11-20
    85.3
    best: 88.2 (Simple Base+*)
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • 1 Image, 2*2 StitchionCOCO test-dev
    ARL· 2017-11-20
    84.3
    best: 87.2 (Simple Base+*)
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • 1 Image, 2*2 StitchionCOCO test-dev
    ARM· 2017-11-20
    74.2
    best: 77.5 (MSPN)
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319

Computer Vision14 results

  • Pose EstimationonCOCO test-dev
    AP· 2017-11-20
    72.1
    best: 81.1 (ViTPose (ViTAE-G, ensemble))
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • Pose EstimationonCOCO test-dev
    AP50· 2017-11-20
    91.4
    best: 95 (ViTPose (ViTAE-G, ensemble))
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • Pose EstimationonCOCO test-dev
    AP75· 2017-11-20
    80
    best: 88.2 (ViTPose (ViTAE-G, ensemble))
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • Pose EstimationonCOCO test-dev
    APL· 2017-11-20
    77.2
    best: 86.5 (PoseBH-H)
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • Pose EstimationonCOCO test-dev
    AR· 2017-11-20
    78.5
    best: 88.2 (Simple Pose)
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • Pose EstimationonCOCO test-dev
    AP50· 2017-11-20
    91.4
    best: 95 (ViTPose (ViTAE-G, ensemble))
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • Pose EstimationonCOCO test-dev
    AP75· 2017-11-20
    80
    best: 88.2 (ViTPose (ViTAE-G, ensemble))
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • Pose EstimationonCOCO test-dev
    APL· 2017-11-20
    77.2
    best: 86.5 (PoseBH-H)
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • Pose EstimationonCOCO test-dev
    APM· 2017-11-20
    68.7
    best: 83.8 (4xRSN-50 (ensemble))
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • Pose EstimationonCOCO test-dev
    AR· 2017-11-20
    78.5
    best: 88.2 (Simple Pose)
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • Pose EstimationonCOCO test-dev
    AR50· 2017-11-20
    95.1
    best: 96.3 (MSPN)
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • Pose EstimationonCOCO test-dev
    AR75· 2017-11-20
    85.3
    best: 88.2 (Simple Base+*)
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • Pose EstimationonCOCO test-dev
    ARL· 2017-11-20
    84.3
    best: 87.2 (Simple Base+*)
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • Pose EstimationonCOCO test-dev
    ARM· 2017-11-20
    74.2
    best: 77.5 (MSPN)
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319

Methodology14 results

  • 3DonCOCO test-dev
    AP· 2017-11-20
    72.1
    best: 81.1 (ViTPose (ViTAE-G, ensemble))
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • 3DonCOCO test-dev
    AP50· 2017-11-20
    91.4
    best: 95 (ViTPose (ViTAE-G, ensemble))
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • 3DonCOCO test-dev
    AP75· 2017-11-20
    80
    best: 88.2 (ViTPose (ViTAE-G, ensemble))
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • 3DonCOCO test-dev
    APL· 2017-11-20
    77.2
    best: 86.5 (PoseBH-H)
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • 3DonCOCO test-dev
    AR· 2017-11-20
    78.5
    best: 88.2 (Simple Pose)
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • 3DonCOCO test-dev
    AP50· 2017-11-20
    91.4
    best: 95 (ViTPose (ViTAE-G, ensemble))
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • 3DonCOCO test-dev
    AP75· 2017-11-20
    80
    best: 88.2 (ViTPose (ViTAE-G, ensemble))
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • 3DonCOCO test-dev
    APL· 2017-11-20
    77.2
    best: 86.5 (PoseBH-H)
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • 3DonCOCO test-dev
    APM· 2017-11-20
    68.7
    best: 83.8 (4xRSN-50 (ensemble))
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • 3DonCOCO test-dev
    AR· 2017-11-20
    78.5
    best: 88.2 (Simple Pose)
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • 3DonCOCO test-dev
    AR50· 2017-11-20
    95.1
    best: 96.3 (MSPN)
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • 3DonCOCO test-dev
    AR75· 2017-11-20
    85.3
    best: 88.2 (Simple Base+*)
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • 3DonCOCO test-dev
    ARL· 2017-11-20
    84.3
    best: 87.2 (Simple Base+*)
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319
  • 3DonCOCO test-dev
    ARM· 2017-11-20
    74.2
    best: 77.5 (MSPN)
    Cascaded Pyramid Network for Multi-Person Pose EstimationarXiv:1711.07319

Medical2 results

  • Semantic SegmentationonPASCAL VOC 2012 val
    Mean IoU· 2021-08-09
    67.8
    best: 83.4 (SemPLeS (Swin-L))
    Complementary Patch for Weakly Supervised Semantic SegmentationarXiv:2108.03852
  • Semantic SegmentationonPASCAL VOC 2012 test
    Mean IoU· 2021-08-09
    68.5
    best: 82.9 (SemPLeS (Swin-L))
    Complementary Patch for Weakly Supervised Semantic SegmentationarXiv:2108.03852