Image Classification on CIFAR-100-C (test) (Accuracy and Calibration)
74.15AccuracyFGR
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| FGRModel=ViT-Small, Pre-training=ImageNet-pretrained, Fine-tuning=Full-parameter2025.08 | 74.15 | 4.74 | |
| CEModel=ViT-Small, Pre-training=ImageNet-pretrained, Fine-tuning=Full-parameter2025.08 | 73.94 | 9.76 | |
| DFLModel=ViT-Small, Pre-training=ImageNet-pretrained, Fine-tuning=Full-parameter2025.08 | 73.4 | 4.26 | |
| FGRModel=DeiT-Small, Pre-training=ImageNet-pretrained, Fine-tuning=Full-parameter2025.08 | 68.8 | 4.96 | |
| DFLModel=DeiT-Small, Pre-training=ImageNet-pretrained, Fine-tuning=Full-parameter2025.08 | 68.37 | 5.44 | |
| CEModel=DeiT-Small, Pre-training=ImageNet-pretrained, Fine-tuning=Full-parameter2025.08 | 68.35 | 10.49 | |
| FGRModel=Swin-Tiny, Pre-training=ImageNet-pretrained, Fine-tuning=Full-parameter2025.08 | 65.39 | 8.18 | |
| CEModel=Swin-Tiny, Pre-training=ImageNet-pretrained, Fine-tuning=Full-parameter2025.08 | 64.43 | 14.15 | |
| DFLModel=Swin-Tiny, Pre-training=ImageNet-pretrained, Fine-tuning=Full-parameter2025.08 | 63.73 | 9.54 |