Image Classification on KMNIST (val)
95.27Validation AccuracyANN-ResNet18
Evaluation results
| Method | Links | |
|---|---|---|
| ANN-ResNet18Optimizable parameters=11.8M2025.12 | 95.27 | |
| SEW-ResNet18 (ADD)Optimizable parameters=11.8M2025.12 | 94.12 | |
| ANN-ResNet34Optimizable parameters=21.8M2025.12 | 90.76 | |
| SQDR-CNN[4b-9q]Optimizable parameters=8572025.12 | 84.36 | |
| SQDR-CNN[4b-18q]Optimizable parameters=1,2982025.12 | 83.93 | |
| SQDR-CNN[2b-18q]Optimizable parameters=1,1902025.12 | 82.01 | |
| SQDR-CNN[2b-9q]Optimizable parameters=8032025.12 | 80.04 | |
| Spiking-ResNet34Optimizable parameters=21.8M2025.12 | 37.45 | |
| Spiking-ResNet50Optimizable parameters=25.6M2025.12 | 10.44 |