Image Classification on CIFAR100 standard (test) (Accuracy)
79.84Top-1 AccuracyTEFormer
Evaluation results
| Method | Links | |
|---|---|---|
| TEFormerArchitecture=H-Spikformer, Step=4, SNN=true2026.01 | 79.84 | |
| SpikingformerArchitecture=Spikingformer, Step=4, SNN=true, Evaluation=Unified STEP framework2026.01 | 79.12 | |
| QKFormerArchitecture=H-Spikformer, Step=4, SNN=true, Evaluation=Reproduced on STEP framework2026.01 | 79.09 | |
| SDTArchitecture=SD-Transformer, Step=4, SNN=true, Evaluation=Reproduced on STEP framework2026.01 | 78.64 | |
| DSRArchitecture=ResNet, Step=20, SNN=true2026.01 | 78.5 | |
| SpikformerArchitecture=Spikformer, Step=4, SNN=true, Evaluation=Reproduced on STEP framework2026.01 | 77.72 | |
| Spikformer+SEMMArchitecture=Spikformer, Step=4, SNN=true, Evaluation=Unified STEP framework2026.01 | 77.59 | |
| Spiking WaveletArchitecture=SWFormer, Step=4, SNN=true, Evaluation=Unified STEP framework2026.01 | 76.99 | |
| ResNet-19Architecture=ResNet, Step=1, SNN=false2026.01 | 75.35 | |
| TIMArchitecture=Spikformer, Step=4, SNN=true, Evaluation=Reproduced on STEP framework2026.01 | 75.04 | |
| PLIFArchitecture=ConvNet, Step=8, SNN=false2026.01 | 74.8 | |
| SNASNetArchitecture=ConvNet, Step=5, SNN=true2026.01 | 73.04 | |
| DIET-SNNArchitecture=VGGNet, Step=5, SNN=true2026.01 | 69.67 |