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Models/PAGR

PAGR

Reported on 12 benchmarks across 6 tasks

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

Methodology8 results

  • 3DonDUTS-TE
    MAE
    0.055
    best: 0.018 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 3DonDUTS-TE
    max F-measure
    0.854
    best: 0.943 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 2D ClassificationonDUTS-TE
    MAE
    0.055
    best: 0.018 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 2D ClassificationonDUTS-TE
    max F-measure
    0.854
    best: 0.943 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 2D Object DetectiononDUTS-TE
    MAE
    0.055
    best: 0.018 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 2D Object DetectiononDUTS-TE
    max F-measure
    0.854
    best: 0.943 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 16konDUTS-TE
    MAE
    0.055
    best: 0.018 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 16konDUTS-TE
    max F-measure
    0.854
    best: 0.943 (BiRefNet (DUTS, HRSOD, UHRSD))

Computer Vision4 results

  • Object DetectiononDUTS-TE
    MAE
    0.055
    best: 0.018 (BiRefNet (DUTS, HRSOD, UHRSD))
  • Object DetectiononDUTS-TE
    max F-measure
    0.854
    best: 0.943 (BiRefNet (DUTS, HRSOD, UHRSD))
  • RGB Salient Object DetectiononDUTS-TE
    MAE
    0.055
    best: 0.018 (BiRefNet (DUTS, HRSOD, UHRSD))
  • RGB Salient Object DetectiononDUTS-TE
    max F-measure
    0.854
    best: 0.943 (BiRefNet (DUTS, HRSOD, UHRSD))