Image Classification on Camelyon17-WILDS (test)
96AccuracyFLYP
Evaluation results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| FLYPBackbone=ViT-L/14 CLIP, Ensemble=false2024.05 | 96 | — | — | — | — | |
| VDPGBackbone=ViT-L/14 CLIP2024.05 | 96 | — | — | — | — | |
| MacenkoClassification Model=ResNet182025.10 | 95.92 | — | — | — | — | |
| VahadaneClassification Model=ResNet182025.10 | 95.85 | — | — | — | — | |
| ReinhardClassification Model=ResNet182025.10 | 94.55 | — | — | — | — | |
| StainGANClassification Model=ResNet182025.10 | 94.28 | — | — | — | — | |
| LStainNormClassification Model=ResNet182025.10 | 93.23 | — | — | — | — | |
| MABNBackbone=CNNs2024.05 | 92.4 | — | — | — | — | |
| Meta-DMoEBackbone=CNNs2024.05 | 91.4 | — | — | — | — | |
| BeerLaNetClassification Model=ResNet182025.10 | 91.36 | — | — | — | — | |
| ARM-BNBackbone=CNNs2024.05 | 87.2 | — | — | — | — | |
| BaselineClassification Model=ResNet182025.10 | 85.21 | — | — | — | — | |
| ARM-CMLBackbone=CNNs2024.05 | 84.2 | — | — | — | — | |
| ERMBackbone=CNNs2024.05 | 70.3 | — | — | — | — | |
| IRMBackbone=CNNs2024.05 | 64.2 | — | — | — | — | |
| CORALBackbone=CNNs2024.05 | 59.5 | — | — | — | — | |
| KDmode=Knowledge Distillation2025.11 | — | 89.31 | 87.98 | 83.32 | 80.2 | |
| RISEbackbone=ResNet-502025.11 | — | 88.85 | 87.33 | 81.67 | 77.75 | |
| RISE + DIPTbackbone=ResNet-50, prompting=Domain Invariant Prompt Tuning2025.11 | — | 91.17 | 90.09 | 83.37 | 80.14 | |
| VL2Vbackbone=ResNet-502025.11 | — | 90.52 | 89.53 | 87.42 | 85.78 | |
| VL2V + DIPTbackbone=ResNet-50, prompting=Domain Invariant Prompt Tuning2025.11 | — | 93.11 | 92.61 | 90.9 | 89.99 | |
| VL2V*backbone=ViT-B/162025.11 | — | 93.5 | 93.02 | 88.66 | 87.23 | |
| VL2V* + DIPTbackbone=ViT-B/16, prompting=Domain Invariant Prompt Tuning2025.11 | — | 95.35 | 95.18 | 93.66 | 93.28 | |
| Zero-Shotmode=Zero-Shot2025.11 | — | 81.12 | 82.17 | 75.58 | 77.27 |