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Models/Score-CAM

Score-CAM

Reported on 8 benchmarks across 1 task · 1 paper · 4 SOTA

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

Reasoning8 results

  • Error UnderstandingonCUB-200-2011 (ResNet-101)
    Average highest confidence· 2019-10-03
    0.251
    best: 0.2493 (HSIC-Attribution)
    SOTA
    Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural NetworksarXiv:1910.01279
  • Error UnderstandingonCUB-200-2011
    Average highest confidence (EfficientNetV2-M)· 2019-10-03
    0.2403
    SOTA
    Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural NetworksarXiv:1910.01279
  • Error UnderstandingonCUB-200-2011
    Average highest confidence (MobileNetV2)· 2019-10-03
    0.3141
    best: 0.2914 (HSIC-Attribution)
    SOTA
    Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural NetworksarXiv:1910.01279
  • Error UnderstandingonCUB-200-2011
    Average highest confidence (ResNet-101)· 2019-10-03
    0.251
    best: 0.2493 (HSIC-Attribution)
    SOTA
    Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural NetworksarXiv:1910.01279
  • Error UnderstandingonCUB-200-2011 (ResNet-101)
    Insertion AUC score· 2019-10-03
    0.1073
    best: 0.1446 (HSIC-Attribution)
    Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural NetworksarXiv:1910.01279
  • Error UnderstandingonCUB-200-2011
    Insertion AUC score (EfficientNetV2-M)· 2019-10-03
    0.1572
    best: 0.1748 (SMDL-Attribution (ICLR version))
    Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural NetworksarXiv:1910.01279
  • Error UnderstandingonCUB-200-2011
    Insertion AUC score (MobileNetV2)· 2019-10-03
    0.1195
    best: 0.1922 (SMDL-Attribution (ICLR version))
    Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural NetworksarXiv:1910.01279
  • Error UnderstandingonCUB-200-2011
    Insertion AUC score (ResNet-101)· 2019-10-03
    0.1073
    best: 0.1772 (SMDL-Attribution (ICLR version))
    Score-CAM: Score-Weighted Visual Explanations for Convolutional Neural NetworksarXiv:1910.01279