Image Classification on Camelyon17-WILDS (val)
97.8AccuracyBN adapt
Evaluation results
| Method | Links | |
|---|---|---|
| BN adaptBackbone=DenseNet1212021.04 | 97.8 | |
| ENTBackbone=DenseNet1212021.04 | 97.6 | |
| RPLBackbone=DenseNet1212021.04 | 97.6 | |
| LStainNormClassification Model=ResNet182025.10 | 92.56 | |
| ReinhardClassification Model=ResNet182025.10 | 91.36 | |
| StainGANClassification Model=ResNet182025.10 | 90.77 | |
| BeerLaNetClassification Model=ResNet182025.10 | 90.09 | |
| VahadaneClassification Model=ResNet182025.10 | 86.43 | |
| MacenkoClassification Model=ResNet182025.10 | 85.77 | |
| BaselineClassification Model=ResNet182025.10 | 83.38 | |
| BaselineBackbone=DenseNet1212021.04 | 81.4 |