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Models/Adversarial Generator

Adversarial Generator

Reported on 9 benchmarks across 3 tasks · 1 paper · 3 SOTA

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
    EER· 2017-08-31
    0.484
    SOTA
    Abnormal Event Detection in Videos using Generative Adversarial NetsarXiv:1708.09644
  • Semi-supervised Anomaly DetectiononUBI-Fights
    EER· 2017-08-31
    0.484
    SOTA
    Abnormal Event Detection in Videos using Generative Adversarial NetsarXiv:1708.09644
  • Abnormal Event Detection In VideoonUBI-Fights
    AUC· 2017-08-31
    0.533
    best: 0.906 (GMM)
    Abnormal Event Detection in Videos using Generative Adversarial NetsarXiv:1708.09644
  • Abnormal Event Detection In VideoonUBI-Fights
    Decidability· 2017-08-31
    0.147
    best: 1.386 (GMM)
    Abnormal Event Detection in Videos using Generative Adversarial NetsarXiv:1708.09644
  • Abnormal Event Detection In VideoonUBI-Fights
    AUC· 2017-08-31
    0.533
    best: 0.906 (GMM)
    Abnormal Event Detection in Videos using Generative Adversarial NetsarXiv:1708.09644
  • Abnormal Event Detection In VideoonUBI-Fights
    Decidability· 2017-08-31
    0.147
    best: 1.386 (GMM)
    Abnormal Event Detection in Videos using Generative Adversarial NetsarXiv:1708.09644
  • Abnormal Event Detection In VideoonUBI-Fights
    EER· 2017-08-31
    0.484
    Abnormal Event Detection in Videos using Generative Adversarial NetsarXiv:1708.09644
  • Semi-supervised Anomaly DetectiononUBI-Fights
    AUC· 2017-08-31
    0.533
    best: 0.846 (SS-Model + WS-Model + Sultani et al.)
    Abnormal Event Detection in Videos using Generative Adversarial NetsarXiv:1708.09644
  • Semi-supervised Anomaly DetectiononUBI-Fights
    Decidability· 2017-08-31
    0.147
    best: 1.108 (SS-Model + WS-Model + Sultani et al.)
    Abnormal Event Detection in Videos using Generative Adversarial NetsarXiv:1708.09644

Methodology6 results

  • Anomaly DetectiononUBI-Fights
    EER· 2017-08-31
    0.484
    SOTA
    Abnormal Event Detection in Videos using Generative Adversarial NetsarXiv:1708.09644
  • Anomaly DetectiononUBI-Fights
    AUC· 2017-08-31
    0.533
    best: 0.906 (GMM)
    Abnormal Event Detection in Videos using Generative Adversarial NetsarXiv:1708.09644
  • Anomaly DetectiononUBI-Fights
    Decidability· 2017-08-31
    0.147
    best: 1.386 (GMM)
    Abnormal Event Detection in Videos using Generative Adversarial NetsarXiv:1708.09644
  • Anomaly DetectiononUBI-Fights
    AUC· 2017-08-31
    0.533
    best: 0.906 (GMM)
    Abnormal Event Detection in Videos using Generative Adversarial NetsarXiv:1708.09644
  • Anomaly DetectiononUBI-Fights
    Decidability· 2017-08-31
    0.147
    best: 1.386 (GMM)
    Abnormal Event Detection in Videos using Generative Adversarial NetsarXiv:1708.09644
  • Anomaly DetectiononUBI-Fights
    EER· 2017-08-31
    0.484
    Abnormal Event Detection in Videos using Generative Adversarial NetsarXiv:1708.09644