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

Benchmark Model Rank Results
event-data-classification-on-cifar10-dvs-1Dspike (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