Unsupervised Anomaly Detection With Specified 7
評価指標
AUC-ROC
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
モデル名 | AUC-ROC | Paper Title | Repository |
|---|---|---|---|
| Deep Unsup. | 0.689 | Deep unsupervised anomaly detection | - |
| RSRAE | 0.739 | Robust Subspace Recovery Layer for Unsupervised Anomaly Detection | |
| Shell-Renormalized | 0.894 | Shell Theory: A Statistical Model of Reality | |
| IF | 0.661 | Isolation forest | - |
| DAGMM | 0.850 | Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection | |
| LVAD | 0.816 | Locally varying distance transform for unsupervised visual anomaly detection |
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