Neuromorphic Image Classification on N-Caltech101
94.25AccuracyStable Spike
Evaluation results
| Method | Links | |
|---|---|---|
| Stable SpikeArchitecture=VGGSNN, T=10, Knowledge transfer from static data=true2026.03 | 94.25 | |
| MPSArchitecture=VGGSNN, T=10, Knowledge transfer from static data=true2026.03 | 93.68 | |
| Knowledge-TransferArchitecture=VGGSNN, T=10, Knowledge transfer from static data=true2026.03 | 93.18 | |
| SWformerArchitecture=SWformer, T=102026.03 | 88.45 | |
| IMP+TET-SArchitecture=VGGSNN, T=102026.03 | 85.01 | |
| TKSArchitecture=VGGSNN, T=102026.03 | 84.1 | |
| Stable SpikeArchitecture=VGG-9, T=42026.03 | 83.92 | |
| MPSArchitecture=VGG-9, T=52026.03 | 82.71 | |
| TCJA-TET-SNNArchitecture=CombinedSNN, T=142026.03 | 82.5 | |
| EventMixArchitecture=ResNet-18, T=102026.03 | 79.47 | |
| TIMArchitecture=Spikformer, T=102026.03 | 79 | |
| NDAArchitecture=VGG-11, T=102026.03 | 78.2 | |
| SSNNArchitecture=VGG-9, T=52026.03 | 77.97 |