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Models/s2-VAE

s2-VAE

Reported on 9 benchmarks across 3 tasks

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

Computer Vision9 results

  • Abnormal Event Detection In VideoonUBI-Fights
    AUC
    0.61
    best: 0.906 (GMM)
  • Abnormal Event Detection In VideoonUBI-Fights
    Decidability
    0.323
    best: 1.386 (GMM)
  • Abnormal Event Detection In VideoonUBI-Fights
    EER
    0.427
    best: 0.484 (Adversarial Generator)
  • Abnormal Event Detection In VideoonUBI-Fights
    AUC
    0.54
    best: 0.906 (GMM)
  • Abnormal Event Detection In VideoonUBI-Fights
    Decidability
    0.164
    best: 1.386 (GMM)
  • Abnormal Event Detection In VideoonUBI-Fights
    EER
    0.475
    best: 0.484 (Adversarial Generator)
  • Semi-supervised Anomaly DetectiononUBI-Fights
    AUC
    0.54
    best: 0.846 (SS-Model + WS-Model + Sultani et al.)
  • Semi-supervised Anomaly DetectiononUBI-Fights
    Decidability
    0.164
    best: 1.108 (SS-Model + WS-Model + Sultani et al.)
  • Semi-supervised Anomaly DetectiononUBI-Fights
    EER
    0.475
    best: 0.484 (Adversarial Generator)

Methodology6 results

  • Anomaly DetectiononUBI-Fights
    AUC
    0.61
    best: 0.906 (GMM)
  • Anomaly DetectiononUBI-Fights
    Decidability
    0.323
    best: 1.386 (GMM)
  • Anomaly DetectiononUBI-Fights
    EER
    0.427
    best: 0.484 (Adversarial Generator)
  • Anomaly DetectiononUBI-Fights
    AUC
    0.54
    best: 0.906 (GMM)
  • Anomaly DetectiononUBI-Fights
    Decidability
    0.164
    best: 1.386 (GMM)
  • Anomaly DetectiononUBI-Fights
    EER
    0.475
    best: 0.484 (Adversarial Generator)