Image Classification on CIFAR-100 (test) (Accuracy & Average Timesteps)
81.65AccuracySEENN-I
Evaluation results
| Method | Links | ||
|---|---|---|---|
| SEENN-IModel=ResNet-19, Configuration=T32023.04 | 81.65 | 1.74 | |
| SEENN-IModel=ResNet-19, Configuration=T22023.04 | 81.42 | 1.55 | |
| SEENN-IIModel=ResNet-19, Configuration=T12023.04 | 80.23 | 1.21 | |
| SEENN-IModel=ResNet-19, Configuration=T12023.04 | 79.56 | 1.19 | |
| TEBNModel=ResNet-19, Configuration=T32023.04 | 78.76 | 6 | |
| TEBNModel=ResNet-19, Configuration=T22023.04 | 78.71 | 4 | |
| TEBNModel=ResNet-19, Configuration=T12023.04 | 78.07 | 2 | |
| TETModel=ResNet-20, Configuration=T32023.04 | 74.72 | 6 | |
| TETModel=ResNet-20, Configuration=T22023.04 | 74.47 | 4 | |
| SEENN-IModel=VGG-16, Configuration=T32023.04 | 74.3 | 1.84 | |
| DspikeModel=ResNet-20, Configuration=T32023.04 | 74.24 | 6 | |
| RecDis-SNNModel=ResNet-20, Configuration=T22023.04 | 74.1 | 4 | |
| SEENN-IModel=VGG-16, Configuration=T22023.04 | 73.53 | 1.46 | |
| DspikeModel=ResNet-20, Configuration=T22023.04 | 73.35 | 4 | |
| TETModel=ResNet-20, Configuration=T12023.04 | 72.87 | 2 | |
| SEENN-IIModel=VGG-16, Configuration=T12023.04 | 72.76 | 1.15 | |
| SEENN-IModel=VGG-16, Configuration=T12023.04 | 71.87 | 1.12 | |
| DspikeModel=ResNet-20, Configuration=T12023.04 | 71.28 | 2 | |
| Diet-SNNModel=VGG-16, Configuration=T32023.04 | 69.67 | 5 | |
| Temporal pruneModel=VGG-16, Configuration=T32023.04 | 65.16 | 3 | |
| Temporal pruneModel=VGG-16, Configuration=T22023.04 | 64.86 | 2 | |
| Temporal pruneModel=VGG-16, Configuration=T12023.04 | 63.3 | 1 |