Robustness Image Classification on ImageNet-R
54.5Top-1 AccuracyCPolyNeXt-L
Evaluation Results
| Method | Links | |
|---|---|---|
| CPolyNeXt-LModel Scale=Large models (~50–90M params), Activation-free=true, Fine-tuned=false2026.05 | 54.5 | |
| APolyNeXt-LModel Scale=Large models (~50–90M params), Activation-free=true, Fine-tuned=false2026.05 | 54 | |
| APolyNeXt-BModel Scale=Medium models (~35–50M params), Activation-free=true, Fine-tuned=false2026.05 | 52.9 | |
| CPolyNeXt-BModel Scale=Medium models (~35–50M params), Activation-free=true, Fine-tuned=false2026.05 | 52 | |
| CAFormer-S36Model Scale=Medium models (~35–50M params), Activation-free=false, Fine-tuned=false2026.05 | 51.7 | |
| CAFormer-M36Model Scale=Large models (~50–90M params), Activation-free=false, Fine-tuned=false2026.05 | 51.7 | |
| ConvNeXt-BModel Scale=Large models (~50–90M params), Activation-free=false, Fine-tuned=false2026.05 | 51.3 | |
| ConvFormer-M36Model Scale=Large models (~50–90M params), Activation-free=false, Fine-tuned=false2026.05 | 51 | |
| ConvFormer-S36Model Scale=Medium models (~35–50M params), Activation-free=false, Fine-tuned=false2026.05 | 50.8 | |
| APolyNeXt-SModel Scale=Small models (~25–30M params), Activation-free=true, Fine-tuned=false2026.05 | 49.7 | |
| ConvNeXt-SModel Scale=Medium models (~35–50M params), Activation-free=false, Fine-tuned=false2026.05 | 49.5 | |
| CPolyNeXt-SModel Scale=Small models (~25–30M params), Activation-free=true, Fine-tuned=false2026.05 | 49.4 | |
| ConvFormer-S18Model Scale=Small models (~25–30M params), Activation-free=false, Fine-tuned=false2026.05 | 48.7 | |
| CAFormer-S18Model Scale=Small models (~25–30M params), Activation-free=false, Fine-tuned=false2026.05 | 48.7 | |
| ConvNeXt-TModel Scale=Small models (~25–30M params), Activation-free=false, Fine-tuned=false2026.05 | 47.2 | |
| Swin-BModel Scale=Large models (~50–90M params), Activation-free=false, Fine-tuned=false2026.05 | 46.6 | |
| Swin-SModel Scale=Medium models (~35–50M params), Activation-free=false, Fine-tuned=false2026.05 | 45.1 | |
| Swin-TModel Scale=Small models (~25–30M params), Activation-free=false, Fine-tuned=false2026.05 | 41.3 |