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Models/Pooled Image Level kNN

Pooled Image Level kNN

Reported on 6 benchmarks across 3 tasks · 1 paper · 6 SOTA

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

Computer Vision4 results

  • Abnormal Event Detection In VideoonPHANTOM
    Avg. ROC-AUC· uses extra data· 2021-12-14
    0.78
    SOTA
    Approaches Toward Physical and General Video Anomaly DetectionarXiv:2112.07661
  • Abnormal Event Detection In VideoonSomething-Something V2
    Avg. ROC-AUC· uses extra data· 2021-12-14
    0.58
    SOTA
    Approaches Toward Physical and General Video Anomaly DetectionarXiv:2112.07661
  • Semi-supervised Anomaly DetectiononPHANTOM
    Avg. ROC-AUC· uses extra data· 2021-12-14
    0.78
    SOTA
    Approaches Toward Physical and General Video Anomaly DetectionarXiv:2112.07661
  • Semi-supervised Anomaly DetectiononSomething-Something V2
    Avg. ROC-AUC· uses extra data· 2021-12-14
    0.58
    SOTA
    Approaches Toward Physical and General Video Anomaly DetectionarXiv:2112.07661

Methodology2 results

  • Anomaly DetectiononPHANTOM
    Avg. ROC-AUC· uses extra data· 2021-12-14
    0.78
    SOTA
    Approaches Toward Physical and General Video Anomaly DetectionarXiv:2112.07661
  • Anomaly DetectiononSomething-Something V2
    Avg. ROC-AUC· uses extra data· 2021-12-14
    0.58
    SOTA
    Approaches Toward Physical and General Video Anomaly DetectionarXiv:2112.07661