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Models/RDVP-MSD

RDVP-MSD

Reported on 42 benchmarks across 7 tasks

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

Methodology24 results

  • 3DonCAMO
    E_{\phi}
    0.848
  • 3DonCAMO
    MAE
    0.081
    best: 0.025 (FOCUS)
  • 3DonCAMO
    S_{\alpha}
    0.796
  • 3DonCOD10K
    E_{\phi}
    0.877
  • 3DonCOD10K
    MAE
    0.038
  • 3DonCOD10K
    S_{\alpha}
    0.825
  • 2D ClassificationonCAMO
    E_{\phi}
    0.848
  • 2D ClassificationonCAMO
    MAE
    0.081
    best: 0.025 (FOCUS)
  • 2D ClassificationonCAMO
    S_{\alpha}
    0.796
  • 2D ClassificationonCOD10K
    E_{\phi}
    0.877
  • 2D ClassificationonCOD10K
    MAE
    0.038
  • 2D ClassificationonCOD10K
    S_{\alpha}
    0.825
  • 2D Object DetectiononCAMO
    E_{\phi}
    0.848
  • 2D Object DetectiononCAMO
    MAE
    0.081
    best: 0.025 (FOCUS)
  • 2D Object DetectiononCAMO
    S_{\alpha}
    0.796
  • 2D Object DetectiononCOD10K
    E_{\phi}
    0.877
  • 2D Object DetectiononCOD10K
    MAE
    0.038
  • 2D Object DetectiononCOD10K
    S_{\alpha}
    0.825
  • 16konCAMO
    E_{\phi}
    0.848
  • 16konCAMO
    MAE
    0.081
    best: 0.025 (FOCUS)
  • 16konCAMO
    S_{\alpha}
    0.796
  • 16konCOD10K
    E_{\phi}
    0.877
  • 16konCOD10K
    MAE
    0.038
  • 16konCOD10K
    S_{\alpha}
    0.825

Computer Vision18 results

  • Object DetectiononCAMO
    E_{\phi}
    0.848
  • Object DetectiononCAMO
    MAE
    0.081
    best: 0.025 (FOCUS)
  • Object DetectiononCAMO
    S_{\alpha}
    0.796
  • Object DetectiononCOD10K
    E_{\phi}
    0.877
  • Object DetectiononCOD10K
    MAE
    0.038
  • Object DetectiononCOD10K
    S_{\alpha}
    0.825
  • Camouflaged Object SegmentationonCAMO
    E_{\phi}
    0.848
  • Camouflaged Object SegmentationonCAMO
    MAE
    0.081
    best: 0.025 (FOCUS)
  • Camouflaged Object SegmentationonCAMO
    S_{\alpha}
    0.796
  • Camouflaged Object SegmentationonCOD10K
    E_{\phi}
    0.877
  • Camouflaged Object SegmentationonCOD10K
    MAE
    0.038
  • Camouflaged Object SegmentationonCOD10K
    S_{\alpha}
    0.825
  • Object SegmentationonCAMO
    E_{\phi}
    0.848
  • Object SegmentationonCAMO
    MAE
    0.081
    best: 0.025 (FOCUS)
  • Object SegmentationonCAMO
    S_{\alpha}
    0.796
  • Object SegmentationonCOD10K
    E_{\phi}
    0.877
  • Object SegmentationonCOD10K
    MAE
    0.038
  • Object SegmentationonCOD10K
    S_{\alpha}
    0.825