Unsupervised Anomaly Detection With Specified 6
Metrics
AUC-ROC
Results
Performance results of various models on this benchmark
Model Name | AUC-ROC | Paper Title | Repository |
|---|---|---|---|
| DAGMM | 0.883 | Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection | |
| Deep Unsup. | 0.702 | Deep unsupervised anomaly detection | - |
| RSRAE | 0.814 | Robust Subspace Recovery Layer for Unsupervised Anomaly Detection | - |
| Shell-Renormalized | 0.896 | Shell Theory: A Statistical Model of Reality | |
| LVAD | 0.854 | Locally varying distance transform for unsupervised visual anomaly detection | |
| Isolation Forest | 0.721 | Isolation forest | - |
0 of 6 row(s) selected.