Image Classification on Camelyon17 OOD (test)
91.46AccuracyFGR
Evaluation results
| Method | Links | ||
|---|---|---|---|
| FGRModel=Swin-Tiny, Pre-training=ImageNet-pretrained, Fine-tuning=Full-parameter2025.08 | 91.46 | 8.21 | |
| DFLModel=Swin-Tiny, Pre-training=ImageNet-pretrained, Fine-tuning=Full-parameter2025.08 | 87.17 | 9.54 | |
| Sparse and Shared Feature Activationsbeta > 0 at test time=true2023.04 | 85.5 | — | |
| CEModel=Swin-Tiny, Pre-training=ImageNet-pretrained, Fine-tuning=Full-parameter2025.08 | 82.73 | 15.96 | |
| CEModel=ViT-Small, Pre-training=ImageNet-pretrained, Fine-tuning=Full-parameter2025.08 | 82.37 | 16.27 | |
| FGRModel=DeiT-Small, Pre-training=ImageNet-pretrained, Fine-tuning=Full-parameter2025.08 | 82.29 | 8.95 | |
| CEModel=DeiT-Small, Pre-training=ImageNet-pretrained, Fine-tuning=Full-parameter2025.08 | 80.52 | 18.32 | |
| FGRModel=ViT-Small, Pre-training=ImageNet-pretrained, Fine-tuning=Full-parameter2025.08 | 75.99 | 10.14 | |
| Sparse and Shared Feature Activations2023.04 | 74.1 | — | |
| DFLModel=DeiT-Small, Pre-training=ImageNet-pretrained, Fine-tuning=Full-parameter2025.08 | 73.85 | 11.74 | |
| DFLModel=ViT-Small, Pre-training=ImageNet-pretrained, Fine-tuning=Full-parameter2025.08 | 72.93 | 9.15 | |
| ERM2023.04 | 70.3 | — | |
| IRM2023.04 | 64.2 | — | |
| CORAL2023.04 | 59.5 | — |