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Models/FOCUS

FOCUS

Reported on 114 benchmarks across 12 tasks · 2 papers · 80 SOTA

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

Computer Vision57 results

  • Object DetectiononCOD
    MAE· 2025-01-09
    0.013
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Object DetectiononCOD
    Weighted F-Measure· 2025-01-09
    0.883
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Object DetectiononCAMO
    MAE· 2025-01-09
    0.025
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Object DetectiononCAMO
    S-Measure· 2025-01-09
    0.912
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Object DetectiononCAMO
    Weighted F-Measure· 2025-01-09
    0.904
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Object DetectiononNC4K
    MAE· 2025-01-09
    0.02
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Object DetectiononNC4K
    S-measure· 2025-01-09
    0.915
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Object DetectiononNC4K
    weighted F-measure· 2025-01-09
    0.906
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Camouflaged Object SegmentationonCOD
    MAE· 2025-01-09
    0.013
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Camouflaged Object SegmentationonCOD
    Weighted F-Measure· 2025-01-09
    0.883
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Camouflaged Object SegmentationonCAMO
    MAE· 2025-01-09
    0.025
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Camouflaged Object SegmentationonCAMO
    S-Measure· 2025-01-09
    0.912
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Camouflaged Object SegmentationonCAMO
    Weighted F-Measure· 2025-01-09
    0.904
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Camouflaged Object SegmentationonNC4K
    MAE· 2025-01-09
    0.02
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Camouflaged Object SegmentationonNC4K
    S-measure· 2025-01-09
    0.915
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Camouflaged Object SegmentationonNC4K
    weighted F-measure· 2025-01-09
    0.906
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Object SegmentationonCOD
    MAE· 2025-01-09
    0.013
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Object SegmentationonCOD
    Weighted F-Measure· 2025-01-09
    0.883
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Object SegmentationonCAMO
    MAE· 2025-01-09
    0.025
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Object SegmentationonCAMO
    S-Measure· 2025-01-09
    0.912
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Object SegmentationonCAMO
    Weighted F-Measure· 2025-01-09
    0.904
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Object SegmentationonNC4K
    MAE· 2025-01-09
    0.02
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Object SegmentationonNC4K
    S-measure· 2025-01-09
    0.915
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Object SegmentationonNC4K
    weighted F-measure· 2025-01-09
    0.906
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Salient Object DetectiononECSSD
    E-measure· 2025-01-09
    0.971
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Salient Object DetectiononECSSD
    MAE· 2025-01-09
    0.018
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Salient Object DetectiononDUTS-TE
    E-measure· 2025-01-09
    0.965
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Salient Object DetectiononDUTS-TE
    MAE· 2025-01-09
    0.019
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Salient Object DetectiononHKU-IS
    E-measure· 2025-01-09
    0.974
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Salient Object DetectiononHKU-IS
    MAE· 2025-01-09
    0.018
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Salient Object DetectiononPASCAL-S
    E-measure· 2025-01-09
    0.942
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Salient Object DetectiononPASCAL-S
    MAE· 2025-01-09
    0.036
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Salient Object DetectiononPASCAL-S
    S-measure· 2025-01-09
    0.898
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Face ReconstructiononNoW Benchmark
    Mean Reconstruction Error (mm)· 2021-06-17
    1.3
    best: 1.01 (DenseLandmarks (Multi-view))
    SOTA
    Robust Model-based Face Reconstruction through Weakly-Supervised Outlier SegmentationarXiv:2106.09614
  • Face ReconstructiononNoW Benchmark
    Median Reconstruction Error· 2021-06-17
    1.04
    best: 0.81 (DenseLandmarks (Multi-view))
    SOTA
    Robust Model-based Face Reconstruction through Weakly-Supervised Outlier SegmentationarXiv:2106.09614
  • Face ReconstructiononNoW Benchmark
    Stdev Reconstruction Error (mm)· 2021-06-17
    1.1
    best: 0.84 (DenseLandmarks (Multi-view))
    SOTA
    Robust Model-based Face Reconstruction through Weakly-Supervised Outlier SegmentationarXiv:2106.09614
  • 3D Face ReconstructiononNoW Benchmark
    Mean Reconstruction Error (mm)· 2021-06-17
    1.3
    best: 1.01 (DenseLandmarks (Multi-view))
    SOTA
    Robust Model-based Face Reconstruction through Weakly-Supervised Outlier SegmentationarXiv:2106.09614
  • 3D Face ReconstructiononNoW Benchmark
    Median Reconstruction Error· 2021-06-17
    1.04
    best: 0.81 (DenseLandmarks (Multi-view))
    SOTA
    Robust Model-based Face Reconstruction through Weakly-Supervised Outlier SegmentationarXiv:2106.09614
  • 3D Face ReconstructiononNoW Benchmark
    Stdev Reconstruction Error (mm)· 2021-06-17
    1.1
    best: 0.84 (DenseLandmarks (Multi-view))
    SOTA
    Robust Model-based Face Reconstruction through Weakly-Supervised Outlier SegmentationarXiv:2106.09614
  • Object DetectiononCHAMELEON
    MAE· 2025-01-09
    0.017
    best: 0.015 (BiRefNet)
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Object DetectiononCHAMELEON
    S-measure· 2025-01-09
    0.922
    best: 0.932 (BiRefNet)
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Object DetectiononCHAMELEON
    weighted F-measure· 2025-01-09
    0.908
    best: 0.914 (BiRefNet)
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Object DetectiononCOD
    S-Measure· 2025-01-09
    0.91
    best: 0.913 (BiRefNet)
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Camouflaged Object SegmentationonCHAMELEON
    MAE· 2025-01-09
    0.017
    best: 0.015 (BiRefNet)
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Camouflaged Object SegmentationonCHAMELEON
    S-measure· 2025-01-09
    0.922
    best: 0.932 (BiRefNet)
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Camouflaged Object SegmentationonCHAMELEON
    weighted F-measure· 2025-01-09
    0.908
    best: 0.914 (BiRefNet)
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Camouflaged Object SegmentationonCOD
    S-Measure· 2025-01-09
    0.91
    best: 0.913 (BiRefNet)
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Object SegmentationonCHAMELEON
    MAE· 2025-01-09
    0.017
    best: 0.015 (BiRefNet)
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Object SegmentationonCHAMELEON
    S-measure· 2025-01-09
    0.922
    best: 0.932 (BiRefNet)
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Object SegmentationonCHAMELEON
    weighted F-measure· 2025-01-09
    0.908
    best: 0.914 (BiRefNet)
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Object SegmentationonCOD
    S-Measure· 2025-01-09
    0.91
    best: 0.913 (BiRefNet)
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Salient Object DetectiononECSSD
    S-measure· 2025-01-09
    0.943
    best: 0.95 (SAM2-UNet)
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Salient Object DetectiononDUT-OMRON
    E-measure· 2025-01-09
    0.9
    best: 0.912 (SAM2-UNet)
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Salient Object DetectiononDUT-OMRON
    MAE· 2025-01-09
    0.045
    best: 0.039 (SAM2-UNet)
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Salient Object DetectiononDUT-OMRON
    S-measure· 2025-01-09
    0.868
    best: 0.884 (SAM2-UNet)
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Salient Object DetectiononDUTS-TE
    Smeasure· 2025-01-09
    0.929
    best: 0.934 (SAM2-UNet)
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • Salient Object DetectiononHKU-IS
    S-measure· 2025-01-09
    0.935
    best: 0.941 (SAM2-UNet)
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238

Methodology51 results

  • 3DonCOD
    MAE· 2025-01-09
    0.013
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 3DonCOD
    Weighted F-Measure· 2025-01-09
    0.883
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 3DonCAMO
    MAE· 2025-01-09
    0.025
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 3DonCAMO
    S-Measure· 2025-01-09
    0.912
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 3DonCAMO
    Weighted F-Measure· 2025-01-09
    0.904
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 3DonNC4K
    MAE· 2025-01-09
    0.02
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 3DonNC4K
    S-measure· 2025-01-09
    0.915
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 3DonNC4K
    weighted F-measure· 2025-01-09
    0.906
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 2D ClassificationonCOD
    MAE· 2025-01-09
    0.013
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 2D ClassificationonCOD
    Weighted F-Measure· 2025-01-09
    0.883
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 2D ClassificationonCAMO
    MAE· 2025-01-09
    0.025
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 2D ClassificationonCAMO
    S-Measure· 2025-01-09
    0.912
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 2D ClassificationonCAMO
    Weighted F-Measure· 2025-01-09
    0.904
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 2D ClassificationonNC4K
    MAE· 2025-01-09
    0.02
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 2D ClassificationonNC4K
    S-measure· 2025-01-09
    0.915
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 2D ClassificationonNC4K
    weighted F-measure· 2025-01-09
    0.906
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 2D Object DetectiononCOD
    MAE· 2025-01-09
    0.013
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 2D Object DetectiononCOD
    Weighted F-Measure· 2025-01-09
    0.883
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 2D Object DetectiononCAMO
    MAE· 2025-01-09
    0.025
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 2D Object DetectiononCAMO
    S-Measure· 2025-01-09
    0.912
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 2D Object DetectiononCAMO
    Weighted F-Measure· 2025-01-09
    0.904
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 2D Object DetectiononNC4K
    MAE· 2025-01-09
    0.02
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 2D Object DetectiononNC4K
    S-measure· 2025-01-09
    0.915
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 2D Object DetectiononNC4K
    weighted F-measure· 2025-01-09
    0.906
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 16konCOD
    MAE· 2025-01-09
    0.013
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 16konCOD
    Weighted F-Measure· 2025-01-09
    0.883
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 16konCAMO
    MAE· 2025-01-09
    0.025
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 16konCAMO
    S-Measure· 2025-01-09
    0.912
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 16konCAMO
    Weighted F-Measure· 2025-01-09
    0.904
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 16konNC4K
    MAE· 2025-01-09
    0.02
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 16konNC4K
    S-measure· 2025-01-09
    0.915
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 16konNC4K
    weighted F-measure· 2025-01-09
    0.906
    SOTA
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 3DonNoW Benchmark
    Mean Reconstruction Error (mm)· 2021-06-17
    1.3
    best: 1.01 (DenseLandmarks (Multi-view))
    SOTA
    Robust Model-based Face Reconstruction through Weakly-Supervised Outlier SegmentationarXiv:2106.09614
  • 3DonNoW Benchmark
    Median Reconstruction Error· 2021-06-17
    1.04
    best: 0.81 (DenseLandmarks (Multi-view))
    SOTA
    Robust Model-based Face Reconstruction through Weakly-Supervised Outlier SegmentationarXiv:2106.09614
  • 3DonNoW Benchmark
    Stdev Reconstruction Error (mm)· 2021-06-17
    1.1
    best: 0.84 (DenseLandmarks (Multi-view))
    SOTA
    Robust Model-based Face Reconstruction through Weakly-Supervised Outlier SegmentationarXiv:2106.09614
  • 3DonCHAMELEON
    MAE· 2025-01-09
    0.017
    best: 0.015 (BiRefNet)
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 3DonCHAMELEON
    S-measure· 2025-01-09
    0.922
    best: 0.932 (BiRefNet)
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 3DonCHAMELEON
    weighted F-measure· 2025-01-09
    0.908
    best: 0.914 (BiRefNet)
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 3DonCOD
    S-Measure· 2025-01-09
    0.91
    best: 0.913 (BiRefNet)
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 2D ClassificationonCHAMELEON
    MAE· 2025-01-09
    0.017
    best: 0.015 (BiRefNet)
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 2D ClassificationonCHAMELEON
    S-measure· 2025-01-09
    0.922
    best: 0.932 (BiRefNet)
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 2D ClassificationonCHAMELEON
    weighted F-measure· 2025-01-09
    0.908
    best: 0.914 (BiRefNet)
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 2D ClassificationonCOD
    S-Measure· 2025-01-09
    0.91
    best: 0.913 (BiRefNet)
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 2D Object DetectiononCHAMELEON
    MAE· 2025-01-09
    0.017
    best: 0.015 (BiRefNet)
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 2D Object DetectiononCHAMELEON
    S-measure· 2025-01-09
    0.922
    best: 0.932 (BiRefNet)
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 2D Object DetectiononCHAMELEON
    weighted F-measure· 2025-01-09
    0.908
    best: 0.914 (BiRefNet)
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 2D Object DetectiononCOD
    S-Measure· 2025-01-09
    0.91
    best: 0.913 (BiRefNet)
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 16konCHAMELEON
    MAE· 2025-01-09
    0.017
    best: 0.015 (BiRefNet)
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 16konCHAMELEON
    S-measure· 2025-01-09
    0.922
    best: 0.932 (BiRefNet)
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 16konCHAMELEON
    weighted F-measure· 2025-01-09
    0.908
    best: 0.914 (BiRefNet)
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238
  • 16konCOD
    S-Measure· 2025-01-09
    0.91
    best: 0.913 (BiRefNet)
    FOCUS: Towards Universal Foreground SegmentationarXiv:2501.05238

Music3 results

  • Facial Recognition and ModellingonNoW Benchmark
    Mean Reconstruction Error (mm)· 2021-06-17
    1.3
    best: 1.01 (DenseLandmarks (Multi-view))
    SOTA
    Robust Model-based Face Reconstruction through Weakly-Supervised Outlier SegmentationarXiv:2106.09614
  • Facial Recognition and ModellingonNoW Benchmark
    Median Reconstruction Error· 2021-06-17
    1.04
    best: 0.81 (DenseLandmarks (Multi-view))
    SOTA
    Robust Model-based Face Reconstruction through Weakly-Supervised Outlier SegmentationarXiv:2106.09614
  • Facial Recognition and ModellingonNoW Benchmark
    Stdev Reconstruction Error (mm)· 2021-06-17
    1.1
    best: 0.84 (DenseLandmarks (Multi-view))
    SOTA
    Robust Model-based Face Reconstruction through Weakly-Supervised Outlier SegmentationarXiv:2106.09614

Medical3 results

  • 3D Face ModellingonNoW Benchmark
    Mean Reconstruction Error (mm)· 2021-06-17
    1.3
    best: 1.01 (DenseLandmarks (Multi-view))
    SOTA
    Robust Model-based Face Reconstruction through Weakly-Supervised Outlier SegmentationarXiv:2106.09614
  • 3D Face ModellingonNoW Benchmark
    Median Reconstruction Error· 2021-06-17
    1.04
    best: 0.81 (DenseLandmarks (Multi-view))
    SOTA
    Robust Model-based Face Reconstruction through Weakly-Supervised Outlier SegmentationarXiv:2106.09614
  • 3D Face ModellingonNoW Benchmark
    Stdev Reconstruction Error (mm)· 2021-06-17
    1.1
    best: 0.84 (DenseLandmarks (Multi-view))
    SOTA
    Robust Model-based Face Reconstruction through Weakly-Supervised Outlier SegmentationarXiv:2106.09614