Anomaly Detection on Hyper-Kvasir (test)
0.937AUC-ROCIGD
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| IGDPre-training=SSL2021.01 | 0.937 | — | — | — | — | — | |
| IGDPre-training=ImageNet2021.01 | 0.931 | — | — | — | — | — | |
| CAVGA-Ru2021.01 | 0.928 | — | — | — | — | — | |
| ADGAN2021.01 | 0.913 | — | — | — | — | — | |
| F-anoGAN2021.01 | 0.907 | — | — | — | — | — | |
| DevNetlabeled anomaly examples=102021.08 | 0.829 | — | — | — | — | — | |
| OCGAN2021.01 | 0.813 | — | — | — | — | — | |
| FLOSlabeled anomaly examples=102021.08 | 0.773 | — | — | — | — | — | |
| DeepSADlabeled anomaly examples=102021.08 | 0.719 | — | — | — | — | — | |
| DAE2021.01 | 0.705 | — | — | — | — | — | |
| MINNSlabeled anomaly examples=102021.08 | 0.647 | — | — | — | — | — | |
| DSVDDlabeled anomaly examples=102021.08 | 0.515 | — | — | — | — | — | |
| KDADlabeled anomaly examples=102021.08 | 0.401 | — | — | — | — | — | |
| DeepSADSetting=Hard setting2022.03 | — | 0.672 | 0.666 | 0.619 | 0.564 | 0.63 | |
| DRASetting=Hard setting2022.03 | — | 0.824 | 0.835 | 0.881 | 0.837 | 0.844 | |
| MINNSSetting=Hard setting2022.03 | — | 0.679 | 0.608 | 0.665 | 0.48 | 0.608 |