Tile-level classification on PCam (test)
0.975AUCDSF-CNN
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| DSF-CNNGroup=C8, Parameters=2.2M2020.04 | 0.975 | — | — | — | |
| Steerable G-CNNGroup=C8, Parameters=565K2020.04 | 0.971 | — | — | — | |
| Steerable G-CNNGroup=C4, Parameters=546K2020.04 | 0.969 | — | — | — | |
| Steerable G-CNNGroup=C12, Parameters=545K2020.04 | 0.969 | — | — | — | |
| G-CNNGroup=C8, Parameters=557K2020.04 | 0.968 | — | — | — | |
| G-CNNGroup=C4, Parameters=561K2020.04 | 0.964 | — | — | — | |
| Steerable G-CNNGroup={e}, Parameters=553K2020.04 | 0.963 | — | — | — | |
| p4m-DenseNet*Group=D4, Parameters=119K2020.04 | 0.963 | — | — | — | |
| G-CNNGroup=C12, Parameters=557K2020.04 | 0.962 | — | — | — | |
| VF-CNNGroup=C12, Parameters=556K2020.04 | 0.953 | — | — | — | |
| VF-CNNGroup=C8, Parameters=556K2020.04 | 0.951 | — | — | — | |
| VF-CNNGroup=C4, Parameters=556K2020.04 | 0.949 | — | — | — | |
| ResNet-50Group={e}, Parameters=23.5M2020.04 | 0.948 | — | — | — | |
| CNNGroup={e}, Parameters=564K2020.04 | 0.947 | — | — | — | |
| ResNet-34Group={e}, Parameters=21.3M2020.04 | 0.942 | — | — | — | |
| H-NetMax Frequency=2, Group=SO(2), Parameters=542K2020.04 | 0.939 | — | — | — | |
| H-NetMax Frequency=1, Group=SO(2), Parameters=553K2020.04 | 0.934 | — | — | — | |
| DenseNet-121Group={e}, Parameters=7.8M2020.04 | 0.921 | — | — | — | |
| DenseNet-169Group={e}, Parameters=13.3M2020.04 | 0.92 | — | — | — | |
| CTransPathEvaluation Protocol=Linear Probing2023.09 | — | 0.872 | 0.872 | 0.872 | |
| DINO p=8Evaluation Protocol=Linear Probing2023.09 | — | 0.918 | 0.918 | 0.918 | |
| NatImgEvaluation Protocol=Linear Probing2023.09 | — | 0.886 | 0.886 | 0.886 | |
| PhikonEvaluation Protocol=Linear Probing2023.09 | — | 0.906 | 0.906 | 0.905 | |
| PLIPEvaluation Protocol=Linear Probing2023.09 | — | 0.874 | 0.874 | 0.873 | |
| VirchowEvaluation Protocol=Linear Probing2023.09 | — | 0.933 | 0.933 | 0.933 |