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Models/EVPv2

EVPv2

Reported on 58 benchmarks across 8 tasks · 1 paper · 33 SOTA

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

Computer Vision34 results

  • Object DetectiononCOD
    Weighted F-Measure· 2023-05-29
    0.746
    best: 0.883 (FOCUS)
    SOTA
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • Object DetectiononCAMO
    MAE· 2023-05-29
    0.058
    best: 0.025 (FOCUS)
    SOTA
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • Object DetectiononCAMO
    S-Measure· 2023-05-29
    0.848
    best: 0.912 (FOCUS)
    SOTA
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • Object DetectiononCAMO
    Weighted F-Measure· 2023-05-29
    0.786
    best: 0.904 (FOCUS)
    SOTA
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • Camouflaged Object SegmentationonCOD
    Weighted F-Measure· 2023-05-29
    0.746
    best: 0.883 (FOCUS)
    SOTA
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • Camouflaged Object SegmentationonCAMO
    MAE· 2023-05-29
    0.058
    best: 0.025 (FOCUS)
    SOTA
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • Camouflaged Object SegmentationonCAMO
    S-Measure· 2023-05-29
    0.848
    best: 0.912 (FOCUS)
    SOTA
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • Camouflaged Object SegmentationonCAMO
    Weighted F-Measure· 2023-05-29
    0.786
    best: 0.904 (FOCUS)
    SOTA
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • Object SegmentationonCOD
    Weighted F-Measure· 2023-05-29
    0.746
    best: 0.883 (FOCUS)
    SOTA
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • Object SegmentationonCAMO
    MAE· 2023-05-29
    0.058
    best: 0.025 (FOCUS)
    SOTA
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • Object SegmentationonCAMO
    S-Measure· 2023-05-29
    0.848
    best: 0.912 (FOCUS)
    SOTA
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • Object SegmentationonCAMO
    Weighted F-Measure· 2023-05-29
    0.786
    best: 0.904 (FOCUS)
    SOTA
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • Salient Object DetectiononDUT-OMRON
    E-measure· 2023-05-29
    0.895
    best: 0.912 (SAM2-UNet)
    SOTA
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • Salient Object DetectiononDUT-OMRON
    S-measure· 2023-05-29
    0.862
    best: 0.884 (SAM2-UNet)
    SOTA
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • Salient Object DetectiononDUT-OMRON
    max_F1· 2023-05-29
    0.857
    SOTA
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • Salient Object DetectiononDUTS-TE
    E-measure· 2023-05-29
    0.948
    best: 0.965 (FOCUS)
    SOTA
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • Salient Object DetectiononPASCAL-S
    S-measure· 2023-05-29
    0.879
    best: 0.898 (FOCUS)
    SOTA
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • Object DetectiononCOD
    MAE· 2023-05-29
    0.029
    best: 0.013 (FOCUS)
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • Object DetectiononCOD
    S-Measure· 2023-05-29
    0.843
    best: 0.913 (BiRefNet)
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • Camouflaged Object SegmentationonCOD
    MAE· 2023-05-29
    0.029
    best: 0.013 (FOCUS)
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • Camouflaged Object SegmentationonCOD
    S-Measure· 2023-05-29
    0.843
    best: 0.913 (BiRefNet)
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • Object SegmentationonCOD
    MAE· 2023-05-29
    0.029
    best: 0.013 (FOCUS)
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • Object SegmentationonCOD
    S-Measure· 2023-05-29
    0.843
    best: 0.913 (BiRefNet)
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • Salient Object DetectiononECSSD
    E-measure· 2023-05-29
    0.957
    best: 0.971 (FOCUS)
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • Salient Object DetectiononECSSD
    MAE· 2023-05-29
    0.028
    best: 0.018 (FOCUS)
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • Salient Object DetectiononECSSD
    S-measure· 2023-05-29
    0.935
    best: 0.95 (SAM2-UNet)
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • Salient Object DetectiononECSSD
    max_F1· 2023-05-29
    0.958
    best: 0.963 (SelfReformer-Swin)
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • Salient Object DetectiononDUT-OMRON
    MAE· 2023-05-29
    0.047
    best: 0.039 (SAM2-UNet)
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • Salient Object DetectiononDUTS-TE
    MAE· 2023-05-29
    0.027
    best: 0.019 (FOCUS)
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • Salient Object DetectiononDUTS-TE
    Smeasure· 2023-05-29
    0.915
    best: 0.934 (SAM2-UNet)
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • Salient Object DetectiononDUTS-TE
    max_F1· 2023-05-29
    0.923
    best: 0.925 (SelfReformer-Swin)
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • Salient Object DetectiononPASCAL-S
    E-measure· 2023-05-29
    0.917
    best: 0.942 (FOCUS)
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • Salient Object DetectiononPASCAL-S
    MAE· 2023-05-29
    0.053
    best: 0.036 (FOCUS)
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • Salient Object DetectiononPASCAL-S
    max_F1· 2023-05-29
    0.869
    best: 0.896 (SelfReformer-Swin)
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476

Methodology24 results

  • 3DonCOD
    Weighted F-Measure· 2023-05-29
    0.746
    best: 0.883 (FOCUS)
    SOTA
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • 3DonCAMO
    MAE· 2023-05-29
    0.058
    best: 0.025 (FOCUS)
    SOTA
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • 3DonCAMO
    S-Measure· 2023-05-29
    0.848
    best: 0.912 (FOCUS)
    SOTA
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • 3DonCAMO
    Weighted F-Measure· 2023-05-29
    0.786
    best: 0.904 (FOCUS)
    SOTA
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • 2D ClassificationonCOD
    Weighted F-Measure· 2023-05-29
    0.746
    best: 0.883 (FOCUS)
    SOTA
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • 2D ClassificationonCAMO
    MAE· 2023-05-29
    0.058
    best: 0.025 (FOCUS)
    SOTA
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • 2D ClassificationonCAMO
    S-Measure· 2023-05-29
    0.848
    best: 0.912 (FOCUS)
    SOTA
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • 2D ClassificationonCAMO
    Weighted F-Measure· 2023-05-29
    0.786
    best: 0.904 (FOCUS)
    SOTA
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • 2D Object DetectiononCOD
    Weighted F-Measure· 2023-05-29
    0.746
    best: 0.883 (FOCUS)
    SOTA
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • 2D Object DetectiononCAMO
    MAE· 2023-05-29
    0.058
    best: 0.025 (FOCUS)
    SOTA
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • 2D Object DetectiononCAMO
    S-Measure· 2023-05-29
    0.848
    best: 0.912 (FOCUS)
    SOTA
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • 2D Object DetectiononCAMO
    Weighted F-Measure· 2023-05-29
    0.786
    best: 0.904 (FOCUS)
    SOTA
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • 16konCOD
    Weighted F-Measure· 2023-05-29
    0.746
    best: 0.883 (FOCUS)
    SOTA
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • 16konCAMO
    MAE· 2023-05-29
    0.058
    best: 0.025 (FOCUS)
    SOTA
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • 16konCAMO
    S-Measure· 2023-05-29
    0.848
    best: 0.912 (FOCUS)
    SOTA
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • 16konCAMO
    Weighted F-Measure· 2023-05-29
    0.786
    best: 0.904 (FOCUS)
    SOTA
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • 3DonCOD
    MAE· 2023-05-29
    0.029
    best: 0.013 (FOCUS)
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • 3DonCOD
    S-Measure· 2023-05-29
    0.843
    best: 0.913 (BiRefNet)
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • 2D ClassificationonCOD
    MAE· 2023-05-29
    0.029
    best: 0.013 (FOCUS)
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • 2D ClassificationonCOD
    S-Measure· 2023-05-29
    0.843
    best: 0.913 (BiRefNet)
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • 2D Object DetectiononCOD
    MAE· 2023-05-29
    0.029
    best: 0.013 (FOCUS)
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • 2D Object DetectiononCOD
    S-Measure· 2023-05-29
    0.843
    best: 0.913 (BiRefNet)
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • 16konCOD
    MAE· 2023-05-29
    0.029
    best: 0.013 (FOCUS)
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476
  • 16konCOD
    S-Measure· 2023-05-29
    0.843
    best: 0.913 (BiRefNet)
    Explicit Visual Prompting for Universal Foreground SegmentationsarXiv:2305.18476