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Robustness Image Classification on ImageNet-R

54.5Top-1 AccuracyCPolyNeXt-L
40.77244.33647.951.464May 20, 2026

Evaluation results

MethodLinks
CPolyNeXt-LModel Scale=Large models (~50–90M params), Activation-free=true, Fine-tuned=false2026.0554.5
APolyNeXt-LModel Scale=Large models (~50–90M params), Activation-free=true, Fine-tuned=false2026.0554
APolyNeXt-BModel Scale=Medium models (~35–50M params), Activation-free=true, Fine-tuned=false2026.0552.9
CPolyNeXt-BModel Scale=Medium models (~35–50M params), Activation-free=true, Fine-tuned=false2026.0552
CAFormer-S36Model Scale=Medium models (~35–50M params), Activation-free=false, Fine-tuned=false2026.0551.7
CAFormer-M36Model Scale=Large models (~50–90M params), Activation-free=false, Fine-tuned=false2026.0551.7
ConvNeXt-BModel Scale=Large models (~50–90M params), Activation-free=false, Fine-tuned=false2026.0551.3
ConvFormer-M36Model Scale=Large models (~50–90M params), Activation-free=false, Fine-tuned=false2026.0551
ConvFormer-S36Model Scale=Medium models (~35–50M params), Activation-free=false, Fine-tuned=false2026.0550.8
APolyNeXt-SModel Scale=Small models (~25–30M params), Activation-free=true, Fine-tuned=false2026.0549.7
ConvNeXt-SModel Scale=Medium models (~35–50M params), Activation-free=false, Fine-tuned=false2026.0549.5
CPolyNeXt-SModel Scale=Small models (~25–30M params), Activation-free=true, Fine-tuned=false2026.0549.4
ConvFormer-S18Model Scale=Small models (~25–30M params), Activation-free=false, Fine-tuned=false2026.0548.7
CAFormer-S18Model Scale=Small models (~25–30M params), Activation-free=false, Fine-tuned=false2026.0548.7
ConvNeXt-TModel Scale=Small models (~25–30M params), Activation-free=false, Fine-tuned=false2026.0547.2
Swin-BModel Scale=Large models (~50–90M params), Activation-free=false, Fine-tuned=false2026.0546.6
Swin-SModel Scale=Medium models (~35–50M params), Activation-free=false, Fine-tuned=false2026.0545.1
Swin-TModel Scale=Small models (~25–30M params), Activation-free=false, Fine-tuned=false2026.0541.3