Unsupervised Anomaly Detection With Specified 12
Métriques
AUC-ROC
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | AUC-ROC | Paper Title | Repository |
|---|---|---|---|
| Isolation Forest | 0.777 | Isolation forest | - |
| LVAD | 0.981 | Locally varying distance transform for unsupervised visual anomaly detection | |
| RSRAE | 0.982 | Robust Subspace Recovery Layer for Unsupervised Anomaly Detection | |
| Shell-Renormalized | 0.866 | Shell Theory: A Statistical Model of Reality | |
| DAGMM | 0.784 | Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection | |
| Deep Unsup. | 0.545 | Deep unsupervised anomaly detection | - |
0 of 6 row(s) selected.