Image Classification on ImageNet (Standard Accuracy)
66.68Top-1 AccuracyFPL
Evaluation results
| Method | Links | |
|---|---|---|
| FPLBackbone=ResNet-50, Evaluation protocol=Domain Generalization2026.01 | 66.68 | |
| CoOpBackbone=ResNet-50, Evaluation protocol=Domain Generalization2026.01 | 63.33 | |
| PLOTBackbone=ResNet-50, Evaluation protocol=Domain Generalization2026.01 | 63.01 | |
| CoCoOpBackbone=ResNet-50, Evaluation protocol=Domain Generalization2026.01 | 62.81 | |
| ProGradBackbone=ResNet-50, Evaluation protocol=Domain Generalization2026.01 | 62.17 | |
| TPTBackbone=ResNet-50, Evaluation protocol=Domain Generalization2026.01 | 60.74 | |
| Zero-Shot CLIPBackbone=ResNet-50, Evaluation protocol=Domain Generalization2026.01 | 60.33 |