Anomaly Detection on Hyper-Kvasir Hard setting v1 (test)
0.864AUCDPDL
Evaluation results
| Method | Links | |
|---|---|---|
| DPDLTraining Anomaly Examples=102025.02 | 0.864 | |
| AHLTraining Anomaly Examples=102025.02 | 0.854 | |
| DRATraining Anomaly Examples=102025.02 | 0.844 | |
| DevNetTraining Anomaly Examples=102025.02 | 0.822 | |
| FLOSTraining Anomaly Examples=102025.02 | 0.786 | |
| DPDLTraining Anomaly Examples=12025.02 | 0.715 | |
| AHLTraining Anomaly Examples=12025.02 | 0.706 | |
| DRATraining Anomaly Examples=12025.02 | 0.7 | |
| SAOETraining Anomaly Examples=102025.02 | 0.698 | |
| DevNetTraining Anomaly Examples=12025.02 | 0.595 | |
| MLEPTraining Anomaly Examples=102025.02 | 0.571 | |
| FLOSTraining Anomaly Examples=12025.02 | 0.571 | |
| MLEPTraining Anomaly Examples=12025.02 | 0.48 | |
| SAOETraining Anomaly Examples=12025.02 | 0.406 |