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Models/DGRL

DGRL

Reported on 30 benchmarks across 6 tasks

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

Methodology20 results

  • 3DonDUTS-TE
    MAE
    0.049
    best: 0.018 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 3DonDUTS-TE
    S-Measure
    0.846
    best: 0.944 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 3DonDUTS-TE
    max F-measure
    0.828
    best: 0.943 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 3DonDUTS-TE
    mean E-Measure
    0.887
    best: 0.962 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 3DonDUTS-TE
    mean F-Measure
    0.79
    best: 0.925 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 2D ClassificationonDUTS-TE
    MAE
    0.049
    best: 0.018 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 2D ClassificationonDUTS-TE
    S-Measure
    0.846
    best: 0.944 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 2D ClassificationonDUTS-TE
    max F-measure
    0.828
    best: 0.943 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 2D ClassificationonDUTS-TE
    mean E-Measure
    0.887
    best: 0.962 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 2D ClassificationonDUTS-TE
    mean F-Measure
    0.79
    best: 0.925 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 2D Object DetectiononDUTS-TE
    MAE
    0.049
    best: 0.018 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 2D Object DetectiononDUTS-TE
    S-Measure
    0.846
    best: 0.944 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 2D Object DetectiononDUTS-TE
    max F-measure
    0.828
    best: 0.943 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 2D Object DetectiononDUTS-TE
    mean E-Measure
    0.887
    best: 0.962 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 2D Object DetectiononDUTS-TE
    mean F-Measure
    0.79
    best: 0.925 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 16konDUTS-TE
    MAE
    0.049
    best: 0.018 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 16konDUTS-TE
    S-Measure
    0.846
    best: 0.944 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 16konDUTS-TE
    max F-measure
    0.828
    best: 0.943 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 16konDUTS-TE
    mean E-Measure
    0.887
    best: 0.962 (BiRefNet (DUTS, HRSOD, UHRSD))
  • 16konDUTS-TE
    mean F-Measure
    0.79
    best: 0.925 (BiRefNet (DUTS, HRSOD, UHRSD))

Computer Vision10 results

  • Object DetectiononDUTS-TE
    MAE
    0.049
    best: 0.018 (BiRefNet (DUTS, HRSOD, UHRSD))
  • Object DetectiononDUTS-TE
    S-Measure
    0.846
    best: 0.944 (BiRefNet (DUTS, HRSOD, UHRSD))
  • Object DetectiononDUTS-TE
    max F-measure
    0.828
    best: 0.943 (BiRefNet (DUTS, HRSOD, UHRSD))
  • Object DetectiononDUTS-TE
    mean E-Measure
    0.887
    best: 0.962 (BiRefNet (DUTS, HRSOD, UHRSD))
  • Object DetectiononDUTS-TE
    mean F-Measure
    0.79
    best: 0.925 (BiRefNet (DUTS, HRSOD, UHRSD))
  • RGB Salient Object DetectiononDUTS-TE
    MAE
    0.049
    best: 0.018 (BiRefNet (DUTS, HRSOD, UHRSD))
  • RGB Salient Object DetectiononDUTS-TE
    S-Measure
    0.846
    best: 0.944 (BiRefNet (DUTS, HRSOD, UHRSD))
  • RGB Salient Object DetectiononDUTS-TE
    max F-measure
    0.828
    best: 0.943 (BiRefNet (DUTS, HRSOD, UHRSD))
  • RGB Salient Object DetectiononDUTS-TE
    mean E-Measure
    0.887
    best: 0.962 (BiRefNet (DUTS, HRSOD, UHRSD))
  • RGB Salient Object DetectiononDUTS-TE
    mean F-Measure
    0.79
    best: 0.925 (BiRefNet (DUTS, HRSOD, UHRSD))