Anomaly Detection on Optical
0.983AUCDPDL
Evaluation results
| Method | Links | |
|---|---|---|
| DPDLNumber of training anomaly examples=102025.02 | 0.983 | |
| AHLNumber of training anomaly examples=102025.02 | 0.976 | |
| DRAC (number of anomaly classes)=1, Training setting=ten random anomaly examples2022.03 | 0.965 | |
| DRAtraining_anomaly_examples=10, anomaly_classes=12022.03 | 0.965 | |
| DRANumber of training anomaly examples=102025.02 | 0.965 | |
| SAOENumber of training anomaly examples=102025.02 | 0.941 | |
| DPDLNumber of training anomaly examples=12025.02 | 0.915 | |
| DRAtraining_anomaly_examples=1, anomaly_classes=12022.03 | 0.888 | |
| DRANumber of training anomaly examples=12025.02 | 0.888 | |
| AHLNumber of training anomaly examples=12025.02 | 0.888 | |
| SAOEtraining_anomaly_examples=1, anomaly_classes=12022.03 | 0.815 | |
| SAOENumber of training anomaly examples=12025.02 | 0.815 | |
| DevNetNumber of training anomaly examples=102025.02 | 0.782 | |
| MINNSC (number of anomaly classes)=1, Training setting=ten random anomaly examples2022.03 | 0.774 | |
| MLEPNumber of training anomaly examples=102025.02 | 0.74 | |
| FLOSNumber of training anomaly examples=102025.02 | 0.72 | |
| KDADtraining_anomaly_examples=Unsupervised, anomaly_classes=12022.03 | 0.579 | |
| DeepSADC (number of anomaly classes)=1, Training setting=ten random anomaly examples2022.03 | 0.558 | |
| DevNetNumber of training anomaly examples=12025.02 | 0.523 | |
| FLOSNumber of training anomaly examples=12025.02 | 0.518 | |
| MLEPNumber of training anomaly examples=12025.02 | 0.516 |