Image Classification on CIFAR10 standard (test) (Top-1 Accuracy)
97.4Top-1 AccuracySpikingResformer
Evaluation Results
| Method | Links | |
|---|---|---|
| SpikingResformerType=Transfer Learning, Architecture=SpikingResformer-S, #Param (M)=17.25, T=42024.03 | 97.4 | |
| SpikformerType=Transfer Learning, Architecture=Spikformer-8-512, #Param (M)=29.08, T=42024.03 | 97.03 | |
| SpikingResformerType=Transfer Learning, Architecture=SpikingResformer-Ti, #Param (M)=10.76, T=42024.03 | 97.02 | |
| SpikformerType=Transfer Learning, Architecture=Spikformer-8-384, #Param (M)=16.36, T=42024.03 | 96.64 | |
| SpikingResformerType=Direct Training, Architecture=SpikingResformer-Ti*, #Param (M)=10.79, T=42024.03 | 96.24 | |
| TEFormerArchitecture=H-Spikformer, Step=4, SNN=true2026.01 | 96.24 | |
| QKFormerArchitecture=H-Spikformer, Step=4, SNN=true, Evaluation=Reproduced on STEP framework2026.01 | 95.91 | |
| SDTArchitecture=SD-Transformer, Step=4, SNN=true, Evaluation=Reproduced on STEP framework2026.01 | 95.78 | |
| SpikingformerType=Direct Training, Architecture=Spikingformer-4-384, #Param (M)=9.28, T=42024.03 | 95.61 | |
| Spike-driven TransformerType=Direct Training, Architecture=Spike-driven Transformer-2-512, #Param (M)=10.21, T=42024.03 | 95.6 | |
| SpikformerType=Transfer Learning, Architecture=Spikformer-4-384, #Param (M)=9.28, T=42024.03 | 95.54 | |
| SpikingformerArchitecture=Spikingformer, Step=4, SNN=true, Evaluation=Unified STEP framework2026.01 | 95.53 | |
| DSRArchitecture=ResNet, Step=20, SNN=true2026.01 | 95.4 | |
| Spiking WaveletArchitecture=SWFormer, Step=4, SNN=true, Evaluation=Unified STEP framework2026.01 | 95.31 | |
| SpikingformerType=Direct Training, Architecture=Spikingformer-2-384, #Param (M)=5.74, T=42024.03 | 95.22 | |
| SpikformerType=Direct Training, Architecture=Spikformer-4-384, #Param (M)=9.28, T=42024.03 | 95.19 | |
| SpikformerArchitecture=Spikformer, Step=4, SNN=true, Evaluation=Reproduced on STEP framework2026.01 | 95.09 | |
| Spikformer+SEMMArchitecture=Spikformer, Step=4, SNN=true, Evaluation=Unified STEP framework2026.01 | 94.98 | |
| ResNet-19Architecture=ResNet, Step=1, SNN=false2026.01 | 94.97 | |
| SpikformerType=Direct Training, Architecture=Spikformer-2-384, #Param (M)=5.74, T=42024.03 | 94.8 | |
| SpikingformerType=Direct Training, Architecture=Spikingformer-4-256, #Param (M)=4.13, T=42024.03 | 94.77 | |
| DspikeType=Direct Training, Architecture=ResNet-18, #Param (M)=11.21, T=62024.03 | 94.25 | |
| TIMArchitecture=Spikformer, Step=4, SNN=true, Evaluation=Reproduced on STEP framework2026.01 | 94.2 | |
| SpikformerType=Direct Training, Architecture=Spikformer-4-256, #Param (M)=4.13, T=42024.03 | 93.94 | |
| DspikeType=Direct Training, Architecture=ResNet-18, #Param (M)=11.21, T=42024.03 | 93.66 | |
| SNASNetArchitecture=ConvNet, Step=5, SNN=true2026.01 | 93.64 | |
| PLIFType=Direct Training, Architecture=6 Conv, 2 FC, #Param (M)=36.71, T=82024.03 | 93.5 | |
| PLIFArchitecture=ConvNet, Step=8, SNN=false2026.01 | 93.5 | |
| STBP-tdBNType=Direct Training, Architecture=ResNet-19, #Param (M)=12.54, T=62024.03 | 93.16 | |
| DspikeType=Direct Training, Architecture=ResNet-18, #Param (M)=11.21, T=22024.03 | 93.13 | |
| STBP-tdBNType=Direct Training, Architecture=ResNet-19, #Param (M)=12.54, T=42024.03 | 92.92 | |
| tdBNArchitecture=ResNet, Step=4, SNN=true2026.01 | 92.92 | |
| DIET-SNNArchitecture=VGGNet, Step=5, SNN=true2026.01 | 92.7 | |
| STBP-tdBNType=Direct Training, Architecture=ResNet-19, #Param (M)=12.54, T=22024.03 | 92.34 | |
| ViTArchitecture=ViT, Step=1, SNN=false, Evaluation=Unified STEP framework2026.01 | 90.89 |