Differentiable Spike: Rethinking Gradient-Descent for Training Spiking Neural Networks

Benchmark Model Rank Results
event-data-classification-on-cifar10-dvsDspike (ResNet-18)–Accuracy: 75.4
image-classification-on-cifar-100Dspike (ResNet-18)–Percentage correct: 74.24
image-classification-on-imagenetDspike (VGG-16)–Top 1 Accuracy: 71.24