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Models/SINet*

SINet*

Reported on 21 benchmarks across 7 tasks · 1 paper · 21 SOTA

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

Methodology12 results

  • 3DonCOD
    MAE· 2021-02-20
    0.051
    best: 0.013 (FOCUS)
    SOTA
    Concealed Object DetectionarXiv:2102.10274
  • 3DonCOD
    S-Measure· 2021-02-20
    0.771
    best: 0.913 (BiRefNet)
    SOTA
    Concealed Object DetectionarXiv:2102.10274
  • 3DonCOD
    Weighted F-Measure· 2021-02-20
    0.551
    best: 0.883 (FOCUS)
    SOTA
    Concealed Object DetectionarXiv:2102.10274
  • 2D ClassificationonCOD
    MAE· 2021-02-20
    0.051
    best: 0.013 (FOCUS)
    SOTA
    Concealed Object DetectionarXiv:2102.10274
  • 2D ClassificationonCOD
    S-Measure· 2021-02-20
    0.771
    best: 0.913 (BiRefNet)
    SOTA
    Concealed Object DetectionarXiv:2102.10274
  • 2D ClassificationonCOD
    Weighted F-Measure· 2021-02-20
    0.551
    best: 0.883 (FOCUS)
    SOTA
    Concealed Object DetectionarXiv:2102.10274
  • 2D Object DetectiononCOD
    MAE· 2021-02-20
    0.051
    best: 0.013 (FOCUS)
    SOTA
    Concealed Object DetectionarXiv:2102.10274
  • 2D Object DetectiononCOD
    S-Measure· 2021-02-20
    0.771
    best: 0.913 (BiRefNet)
    SOTA
    Concealed Object DetectionarXiv:2102.10274
  • 2D Object DetectiononCOD
    Weighted F-Measure· 2021-02-20
    0.551
    best: 0.883 (FOCUS)
    SOTA
    Concealed Object DetectionarXiv:2102.10274
  • 16konCOD
    MAE· 2021-02-20
    0.051
    best: 0.013 (FOCUS)
    SOTA
    Concealed Object DetectionarXiv:2102.10274
  • 16konCOD
    S-Measure· 2021-02-20
    0.771
    best: 0.913 (BiRefNet)
    SOTA
    Concealed Object DetectionarXiv:2102.10274
  • 16konCOD
    Weighted F-Measure· 2021-02-20
    0.551
    best: 0.883 (FOCUS)
    SOTA
    Concealed Object DetectionarXiv:2102.10274

Computer Vision9 results

  • Object DetectiononCOD
    MAE· 2021-02-20
    0.051
    best: 0.013 (FOCUS)
    SOTA
    Concealed Object DetectionarXiv:2102.10274
  • Object DetectiononCOD
    S-Measure· 2021-02-20
    0.771
    best: 0.913 (BiRefNet)
    SOTA
    Concealed Object DetectionarXiv:2102.10274
  • Object DetectiononCOD
    Weighted F-Measure· 2021-02-20
    0.551
    best: 0.883 (FOCUS)
    SOTA
    Concealed Object DetectionarXiv:2102.10274
  • Camouflaged Object SegmentationonCOD
    MAE· 2021-02-20
    0.051
    best: 0.013 (FOCUS)
    SOTA
    Concealed Object DetectionarXiv:2102.10274
  • Camouflaged Object SegmentationonCOD
    S-Measure· 2021-02-20
    0.771
    best: 0.913 (BiRefNet)
    SOTA
    Concealed Object DetectionarXiv:2102.10274
  • Camouflaged Object SegmentationonCOD
    Weighted F-Measure· 2021-02-20
    0.551
    best: 0.883 (FOCUS)
    SOTA
    Concealed Object DetectionarXiv:2102.10274
  • Object SegmentationonCOD
    MAE· 2021-02-20
    0.051
    best: 0.013 (FOCUS)
    SOTA
    Concealed Object DetectionarXiv:2102.10274
  • Object SegmentationonCOD
    S-Measure· 2021-02-20
    0.771
    best: 0.913 (BiRefNet)
    SOTA
    Concealed Object DetectionarXiv:2102.10274
  • Object SegmentationonCOD
    Weighted F-Measure· 2021-02-20
    0.551
    best: 0.883 (FOCUS)
    SOTA
    Concealed Object DetectionarXiv:2102.10274