Robustness Image Classification on ImageNet-A
49.2Top-1 AccuracyAPolyNeXt-L
Evaluation Results
| Method | Links | |
|---|---|---|
| APolyNeXt-LModel Scale=Large models (~50–90M params), Activation-free=true, Fine-tuned=false2026.05 | 49.2 | |
| CPolyNeXt-LModel Scale=Large models (~50–90M params), Activation-free=true, Fine-tuned=false2026.05 | 48.3 | |
| CAFormer-M36Model Scale=Large models (~50–90M params), Activation-free=false, Fine-tuned=false2026.05 | 45.6 | |
| APolyNeXt-BModel Scale=Medium models (~35–50M params), Activation-free=true, Fine-tuned=false2026.05 | 45.5 | |
| CPolyNeXt-BModel Scale=Medium models (~35–50M params), Activation-free=true, Fine-tuned=false2026.05 | 42.8 | |
| CAFormer-S36Model Scale=Medium models (~35–50M params), Activation-free=false, Fine-tuned=false2026.05 | 40.9 | |
| APolyNeXt-SModel Scale=Small models (~25–30M params), Activation-free=true, Fine-tuned=false2026.05 | 39.6 | |
| ConvFormer-M36Model Scale=Large models (~50–90M params), Activation-free=false, Fine-tuned=false2026.05 | 37.6 | |
| ConvNeXt-BModel Scale=Large models (~50–90M params), Activation-free=false, Fine-tuned=false2026.05 | 36.7 | |
| Swin-BModel Scale=Large models (~50–90M params), Activation-free=false, Fine-tuned=false2026.05 | 35.8 | |
| CPolyNeXt-SModel Scale=Small models (~25–30M params), Activation-free=true, Fine-tuned=false2026.05 | 35.1 | |
| CAFormer-S18Model Scale=Small models (~25–30M params), Activation-free=false, Fine-tuned=false2026.05 | 33.5 | |
| ConvFormer-S36Model Scale=Medium models (~35–50M params), Activation-free=false, Fine-tuned=false2026.05 | 33.2 | |
| Swin-SModel Scale=Medium models (~35–50M params), Activation-free=false, Fine-tuned=false2026.05 | 32.3 | |
| ConvNeXt-SModel Scale=Medium models (~35–50M params), Activation-free=false, Fine-tuned=false2026.05 | 31.2 | |
| ConvFormer-S18Model Scale=Small models (~25–30M params), Activation-free=false, Fine-tuned=false2026.05 | 25.3 | |
| ConvNeXt-TModel Scale=Small models (~25–30M params), Activation-free=false, Fine-tuned=false2026.05 | 24.2 | |
| Swin-TModel Scale=Small models (~25–30M params), Activation-free=false, Fine-tuned=false2026.05 | 21.6 |