Image Classification on CIFAR-10 (Accuracy, Inference Time, Sparsity)
93.69AccuracyStanojevic et al. 2024
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| Stanojevic et al. 2024Architecture=VGG-16, Evaluation Method=Conversion2026.03 | 93.69 | 4,096 | 38 | |
| latency coding frameworkArchitecture=SEW-ResNet-18, Evaluation Method=Direct2026.03 | 93.64 | 1.13 | 22 | |
| TSC-SNNArchitecture=VGG-16, Evaluation Method=Conversion2026.03 | 93.63 | 2,048 | 61 | |
| latency coding frameworkArchitecture=VGG-11, Evaluation Method=Direct2026.03 | 93.6 | 1 | 16 | |
| latency coding frameworkArchitecture=VGG-16, Evaluation Method=Direct2026.03 | 93.12 | 1.13 | 23 | |
| DTA-TTFSArchitecture=VGG-16, Evaluation Method=Direct2026.03 | 93.05 | 160 | 26 | |
| Park et al. 2021Architecture=VGG-16, Evaluation Method=Direct2026.03 | 91.9 | 544 | 17 | |
| T2FSNNArchitecture=VGG-16, Evaluation Method=Conversion2026.03 | 91.43 | 680 | 25 |