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Models/Wide ResNet 40x2

Wide ResNet 40x2

Reported on 5 benchmarks across 1 task · 2 papers · 3 SOTA

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

Computer Vision7 results

  • Out-of-Distribution DetectiononCIFAR10
    AUROC· 2022-04-06
    99.3
    SOTA
    RODD: A Self-Supervised Approach for Robust Out-of-Distribution DetectionarXiv:2204.02553
  • Out-of-Distribution DetectiononCIFAR-100
    AUROC· uses extra data· 2021-05-15
    97.7
    SOTA
    An Effective Baseline for Robustness to Distributional ShiftarXiv:2105.07107
  • Out-of-Distribution DetectiononCIFAR-10
    AUROC· uses extra data· 2021-05-15
    99.9
    best: 100 (DHM)
    SOTA
    An Effective Baseline for Robustness to Distributional ShiftarXiv:2105.07107
  • Out-of-Distribution DetectiononCIFAR-10
    AUROC· 2022-04-06
    99.43
    best: 100 (DHM)
    RODD: A Self-Supervised Approach for Robust Out-of-Distribution DetectionarXiv:2204.02553
  • Out-of-Distribution DetectiononCIFAR-10
    FPR95· 2022-04-06
    3.87
    best: 34.94 (WRN 40-2 (MSP Baseline))
    RODD: A Self-Supervised Approach for Robust Out-of-Distribution DetectionarXiv:2204.02553
  • Out-of-Distribution DetectiononCIFAR-100
    FPR95· uses extra data· 2021-05-15
    23.4
    best: 62.66 (WRN 40-2 (MSP Baseline))
    An Effective Baseline for Robustness to Distributional ShiftarXiv:2105.07107
  • Out-of-Distribution DetectiononCIFAR-10
    FPR95· uses extra data· 2021-05-15
    2
    best: 34.94 (WRN 40-2 (MSP Baseline))
    An Effective Baseline for Robustness to Distributional ShiftarXiv:2105.07107