Unsupervised Anomaly Detection With Specified 9
المقاييس
AUC-ROC
النتائج
نتائج أداء النماذج المختلفة على هذا المعيار القياسي
اسم النموذج | AUC-ROC | Paper Title | Repository |
|---|---|---|---|
| LVAD | 0.930 | Locally varying distance transform for unsupervised visual anomaly detection | |
| Isolation Forest | 0.894 | Isolation forest | - |
| DAGMM | 0.494 | Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection | |
| Deep Unsup. | 0.841 | Deep unsupervised anomaly detection | - |
| RSRAE | 0.901 | Robust Subspace Recovery Layer for Unsupervised Anomaly Detection | |
| Shell-Renormalized | 0.740 | Shell Theory: A Statistical Model of Reality |
0 of 6 row(s) selected.