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Models/Shell-Renormalized

Shell-Renormalized

Reported on 20 benchmarks across 7 tasks

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

Computer Vision14 results

  • Unsupervised Anomaly Detection with Specified Settings -- 20% anomalyonCats and Dogs
    AUC-ROC· uses extra data
    0.953
  • Unsupervised Anomaly Detection with Specified Settings -- 20% anomalyoncifar10
    AUC-ROC· uses extra data
    0.896
  • Unsupervised Anomaly Detection with Specified Settings -- 20% anomalyonSTL-10
    AUC-ROC· uses extra data
    0.999
  • Unsupervised Anomaly Detection with Specified Settings -- 30% anomalyonASSIRA Cat Vs Dog
    AUC-ROC· uses extra data
    0.617
    best: 0.846 (DAGMM)
  • Unsupervised Anomaly Detection with Specified Settings -- 30% anomalyonSTL-10
    AUC-ROC· uses extra data
    0.999
  • Unsupervised Anomaly Detection with Specified Settings -- 30% anomalyonCIFAR-10
    AUC-ROC· uses extra data
    0.894
  • Unsupervised Anomaly Detection with Specified Settings -- 1% anomalyonSTL-10
    AUC-ROC· uses extra data
    0.829
    best: 0.993 (LVAD)
  • Unsupervised Anomaly Detection with Specified Settings -- 1% anomalyonCIFAR-10
    AUC-ROC· uses extra data
    0.756
    best: 0.94 (LVAD)
  • Unsupervised Anomaly Detection with Specified Settings -- 0.1% anomalyonSTL-10
    AUC-ROC· uses extra data
    0.803
    best: 0.998 (LVAD)
  • Unsupervised Anomaly Detection with Specified Settings -- 0.1% anomalyonCIFAR-10
    AUC-ROC· uses extra data
    0.74
    best: 0.93 (LVAD)
  • Unsupervised Anomaly Detection with Specified Settings -- 0.1% anomalyonCats and Dogs
    AUC-ROC· uses extra data
    0.866
    best: 0.982 (RSRAE)
  • Unsupervised Anomaly Detection with Specified Settings -- 10% anomalyonCIFAR-10
    AUC-ROC· uses extra data
    0.895
    best: 0.903 (LVAD)
  • Unsupervised Anomaly Detection with Specified Settings -- 10% anomalyonSTL-10
    AUC-ROC· uses extra data
    0.997
  • Unsupervised Anomaly Detection with Specified Settings -- 10% anomalyonCats and Dogs
    AUC-ROC· uses extra data
    0.996

Methodology3 results

  • Anomaly DetectiononASSIRA Cat Vs Dog
    AUC-ROC· uses extra data
    0.617
    best: 0.846 (DAGMM)
  • Anomaly DetectiononSTL-10
    AUC-ROC· uses extra data
    0.999
  • Anomaly DetectiononCIFAR-10
    AUC-ROC· uses extra data
    0.894

Graphs3 results

  • Unsupervised Anomaly DetectiononASSIRA Cat Vs Dog
    AUC-ROC· uses extra data
    0.617
    best: 0.846 (DAGMM)
  • Unsupervised Anomaly DetectiononSTL-10
    AUC-ROC· uses extra data
    0.999
  • Unsupervised Anomaly DetectiononCIFAR-10
    AUC-ROC· uses extra data
    0.894