OOD Detection on MIDOG CS
0.9343AUROCMaRS
Evaluation results
| Method | Links | |
|---|---|---|
| MaRSUnsupervised=true2026.06 | 0.9343 | |
| MahaUnsupervised=false2026.06 | 0.9256 | |
| ResidualUnsupervised=true2026.06 | 0.9209 | |
| Deep kNNUnsupervised=true2026.06 | 0.9092 | |
| OCSVMUnsupervised=true2026.06 | 0.8768 | |
| AEUnsupervised=true2026.06 | 0.8648 | |
| MSPUnsupervised=false2026.06 | 0.4671 | |
| ViMUnsupervised=false2026.06 | 0.4584 | |
| ODINUnsupervised=false2026.06 | 0.4553 |