FastSNN

Reported on 3 benchmarks across 3 tasks · 1 paper

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

Audio1 result

Audio ClassificationonSHD
Percentage correct· 2022-05-30
70.32
best: 95.9 (Event-SSM)
Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasks arXiv:2205.15286

Computer Vision1 result

Image ClassificationonN-MNIST
Accuracy· 2022-05-30
95.91
best: 99.6 (STS-ResNet)
Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasks arXiv:2205.15286

Methodology1 result

ClassificationonSHD
Percentage correct· 2022-05-30
70.32
best: 95.9 (Event-SSM)
Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasks arXiv:2205.15286