FastSNN (CNN)

Reported on 2 benchmarks across 1 task · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision2 results

Image ClassificationonFashion-MNIST
Accuracy· 2022-05-30
90.57
best: 99.06 (pFedBreD_ns_mg)
Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasks arXiv:2205.15286
Image ClassificationonMNIST
Accuracy· 2022-05-30
99.3
best: 99.87 (Branching/Merging CNN + Homogeneous Vector Capsules)
Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasks arXiv:2205.15286