Robustness on ImageNet-C
42.5mCECPolyNeXt-L
Evaluation Results
| Method | Links | |
|---|---|---|
| CPolyNeXt-LModel Scale=Large models (~50–90M params), Activation-free=true, Fine-tuned=false2026.05 | 42.5 | |
| CAFormer-M36Model Scale=Large models (~50–90M params), Activation-free=false, Fine-tuned=false2026.05 | 42.6 | |
| APolyNeXt-BModel Scale=Medium models (~35–50M params), Activation-free=true, Fine-tuned=false2026.05 | 42.7 | |
| APolyNeXt-LModel Scale=Large models (~50–90M params), Activation-free=true, Fine-tuned=false2026.05 | 42.9 | |
| CPolyNeXt-BModel Scale=Medium models (~35–50M params), Activation-free=true, Fine-tuned=false2026.05 | 44.5 | |
| CAFormer-S36Model Scale=Medium models (~35–50M params), Activation-free=false, Fine-tuned=false2026.05 | 44.7 | |
| APolyNeXt-SModel Scale=Small models (~25–30M params), Activation-free=true, Fine-tuned=false2026.05 | 45 | |
| ConvFormer-M36Model Scale=Large models (~50–90M params), Activation-free=false, Fine-tuned=false2026.05 | 46.5 | |
| ConvNeXt-BModel Scale=Large models (~50–90M params), Activation-free=false, Fine-tuned=false2026.05 | 46.8 | |
| ConvFormer-S36Model Scale=Medium models (~35–50M params), Activation-free=false, Fine-tuned=false2026.05 | 47.1 | |
| CAFormer-S18Model Scale=Small models (~25–30M params), Activation-free=false, Fine-tuned=false2026.05 | 47.4 | |
| CPolyNeXt-SModel Scale=Small models (~25–30M params), Activation-free=true, Fine-tuned=false2026.05 | 47.9 | |
| MONet-SModel Scale=Medium models (~35–50M 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 | 51.2 | |
| ConvFormer-S18Model Scale=Small models (~25–30M params), Activation-free=false, Fine-tuned=false2026.05 | 51.7 | |
| Swin-SModel Scale=Medium models (~35–50M params), Activation-free=false, Fine-tuned=false2026.05 | 52.7 | |
| ConvNeXt-TModel Scale=Small models (~25–30M params), Activation-free=false, Fine-tuned=false2026.05 | 53.2 | |
| Swin-BModel Scale=Large models (~50–90M params), Activation-free=false, Fine-tuned=false2026.05 | 54.4 | |
| Swin-T + ARM#Params=28.4M, FLOPs=4.6G2021.10 | 59.8 | |
| Swin-T#Params=28.3M, FLOPs=4.5G2021.10 | 60.7 | |
| Swin-TModel Scale=Small models (~25–30M params), Activation-free=false, Fine-tuned=false2026.05 | 62 | |
| PIXMIXBackbone=ResNet-50, k=4, beta=42021.12 | 65.8 | |
| SINBackbone=ResNet-502021.12 | 70.9 | |
| AugMixBackbone=ResNet-502021.12 | 71 | |
| MixupBackbone=ResNet-502021.12 | 72.7 | |
| AA Res-50#Params=25.6M, FLOPs=4.2G2021.10 | 73.4 | |
| AutoAugmentBackbone=ResNet-502021.12 | 73.8 | |
| CutoutBackbone=ResNet-502021.12 | 76.9 | |
| CutMixBackbone=ResNet-502021.12 | 77.8 | |
| BaselineBackbone=ResNet-502021.12 | 78.2 |