Unsupervised Anomaly Detection With Specified 11
评估指标
AUC-ROC
评测结果
各个模型在此基准测试上的表现结果
| Paper Title | Repository | ||
|---|---|---|---|
| Isolation Forest | 0.908 | Isolation forest | - |
| RSRAE | 0.900 | Robust Subspace Recovery Layer for Unsupervised Anomaly Detection | |
| LVAD | 0.896 | Locally varying distance transform for unsupervised visual anomaly detection | - |
| DAGMM | 0.784 | Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection | - |
| Deep Unsup. | 0.765 | Deep unsupervised anomaly detection | - |
0 of 5 row(s) selected.