Image Classification on ImageNet (T=250 Accuracy)
74.25Accuracy (T=250)Burst+LIPooling
Evaluation Results
| Method | Links | |
|---|---|---|
| Burst+LIPoolingType=ANN2SNN, Architecture=VGG-16, Timesteps=T=12026.04 | 74.25 | |
| QB-LIFType=SNN Training, Architecture=ResNet-34, Timesteps=T=42026.04 | 73.14 | |
| Adaptive CalibrationType=ANN2SNN, Architecture=ResNet-34, Timesteps=T=12026.04 | 72.96 | |
| QB-LIFType=SNN Training, Architecture=ResNet-34, Timesteps=T=22026.04 | 72.31 | |
| QB-LIFType=SNN Training, Architecture=ResNet-34, Timesteps=T=12026.04 | 71.52 | |
| Ternary SpikeType=SNN Training, Architecture=ResNet-34, Timesteps=T=42026.04 | 70.74 | |
| FSTA-SNNType=SNN Training, Architecture=ResNet-34, Timesteps=T=42026.04 | 70.23 | |
| QB-LIFType=SNN Training, Architecture=ResNet-18, Timesteps=T=42026.04 | 69.89 | |
| QB-LIFType=SNN Training, Architecture=ResNet-18, Timesteps=T=22026.04 | 69.35 | |
| QB-LIFType=SNN Training, Architecture=ResNet-18, Timesteps=T=12026.04 | 68.92 | |
| RMP-SNNType=ANN2SNN, Architecture=ResNet-34, Timesteps=T=12026.04 | 68.89 | |
| GLIFType=SNN Training, Architecture=ResNet-34, Timesteps=T=42026.04 | 67.52 | |
| RecDis-SNNType=SNN Training, Architecture=ResNet-34, Timesteps=T=42026.04 | 67.33 | |
| Real SpikeType=SNN Training, Architecture=ResNet-18, Timesteps=T=42026.04 | 63.68 | |
| SEWType=SNN Training, Architecture=ResNet-18, Timesteps=T=42026.04 | 63.18 | |
| MPBNType=SNN Training, Architecture=ResNet-18, Timesteps=T=42026.04 | 63.14 | |
| RMP-LossType=SNN Training, Architecture=ResNet-18, Timesteps=T=42026.04 | 63.03 | |
| Hybrid TrainingType=ANN2SNN, Architecture=ResNet-34, Timesteps=T=12026.04 | 61.48 |