Image Classification on CIFAR-100 ST-50 step-imbalance (test)
87.91AccuracyGRAIN
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| GRAINBackbone=ViT-base, Fine-tuning strategy=FFT + GRAIN2026.06 | 87.91 | 0.09 | |
| NoisyTuneBackbone=ViT-base, Fine-tuning strategy=FFT + NoisyTune2026.06 | 87.89 | 0.24 | |
| SAMBackbone=ViT-base, Fine-tuning strategy=FFT + SAM2026.06 | 87.84 | 0.02 | |
| PCGradBackbone=ViT-base, Fine-tuning strategy=FFT + PCGrad2026.06 | 87.24 | 0.37 | |
| FocalLossBackbone=ViT-base, Fine-tuning strategy=FFT + FocalLoss2026.06 | 86.6 | 4.17 | |
| ViT (FFT)Backbone=ViT-base, Fine-tuning strategy=FFT2026.06 | 84.3 | 0.48 | |
| SWABackbone=ViT-base, Fine-tuning strategy=FFT + SWA2026.06 | 73.08 | 15.65 |