Image Classification on MNIST (test) (ANN vs SNN Accuracy Comparison)
99.65SNN AccuracyASF-BP
Evaluation results
| Method | Links | ||
|---|---|---|---|
| ASF-BPANN Architecture=-, SNN Architecture=LeNet5, timestep=4002023.04 | 99.65 | — | |
| KDSNNANN Architecture=ResNet18, SNN Architecture=2conv, timestep=42023.04 | 99.37 | 99.59 | |
| STBPANN Architecture=-, SNN Architecture=784-800-10, timestep=302023.04 | 98.89 | — | |
| SDNNANN Architecture=-, SNN Architecture=2conv-2pool, timestep=302023.04 | 98.4 | — | |
| ANTLRANN Architecture=-, SNN Architecture=784-800-10, timestep=1002023.04 | 97.6 | — |