Image Classification on CIFAR10-DVS (Accuracy, Inference Time, Sparsity)
87.6AccuracyGe²mS-T Large
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Ge²mS-T LargeTime-step=42026.04 | 87.6 | — | — | |
| Ge²mS-T BaseTime-step=42026.04 | 87.5 | — | — | |
| Ge²mS-T SmallTime-step=42026.04 | 86 | — | — | |
| TETType=STBP Training, Time-step=102026.04 | 83.17 | — | — | |
| SNN-ViTType=STBP Training2026.04 | 82.3 | — | — | |
| SLTTType=Online Training, Time-step=102026.04 | 82.2 | — | — | |
| SpikingformerType=STBP Training, Time-step=162026.04 | 81.4 | — | — | |
| SpikformerType=STBP Training, Time-step=162026.04 | 80.6 | — | — | |
| Spike-driven TransformerType=STBP Training, Time-step=162026.04 | 80 | — | — | |
| latency coding frameworkArchitecture=VGG-11, Evaluation Method=Direct2026.03 | 79.54 | 4 | 42 | |
| T-SpikeFormerArchitecture=T-Spikformer-2-256, Evaluation Method=Direct2026.03 | 78.2 | 160 | — | |
| STBP-tdBNType=STBP Training, Time-step=102026.04 | 67.8 | — | — |