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Models/SCRN

SCRN

Reported on 18 benchmarks across 6 tasks

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

Methodology12 results

  • 3DonSOC
    Average MAE
    0.099
    best: 0.089 (UCNet-CVAE)
  • 3DonSOC
    S-Measure
    0.838
    best: 0.849 (UCNet-CVAE)
  • 3DonSOC
    mean E-Measure
    0.859
    best: 0.872 (UCNet-CVAE)
  • 2D ClassificationonSOC
    Average MAE
    0.099
    best: 0.089 (UCNet-CVAE)
  • 2D ClassificationonSOC
    S-Measure
    0.838
    best: 0.849 (UCNet-CVAE)
  • 2D ClassificationonSOC
    mean E-Measure
    0.859
    best: 0.872 (UCNet-CVAE)
  • 2D Object DetectiononSOC
    Average MAE
    0.099
    best: 0.089 (UCNet-CVAE)
  • 2D Object DetectiononSOC
    S-Measure
    0.838
    best: 0.849 (UCNet-CVAE)
  • 2D Object DetectiononSOC
    mean E-Measure
    0.859
    best: 0.872 (UCNet-CVAE)
  • 16konSOC
    Average MAE
    0.099
    best: 0.089 (UCNet-CVAE)
  • 16konSOC
    S-Measure
    0.838
    best: 0.849 (UCNet-CVAE)
  • 16konSOC
    mean E-Measure
    0.859
    best: 0.872 (UCNet-CVAE)

Computer Vision6 results

  • Object DetectiononSOC
    Average MAE
    0.099
    best: 0.089 (UCNet-CVAE)
  • Object DetectiononSOC
    S-Measure
    0.838
    best: 0.849 (UCNet-CVAE)
  • Object DetectiononSOC
    mean E-Measure
    0.859
    best: 0.872 (UCNet-CVAE)
  • RGB Salient Object DetectiononSOC
    Average MAE
    0.099
    best: 0.089 (UCNet-CVAE)
  • RGB Salient Object DetectiononSOC
    S-Measure
    0.838
    best: 0.849 (UCNet-CVAE)
  • RGB Salient Object DetectiononSOC
    mean E-Measure
    0.859
    best: 0.872 (UCNet-CVAE)