SNN

Reported on 5 benchmarks across 3 tasks · 2 papers · 1 SOTA

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

Computer Vision3 results

Image ClassificationonDVS128 Gesture
Accuracy· 2023-02-13
92.5
SOTA
Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data arXiv:2302.06279
Image ClassificationonCIFAR-10
Percentage correct· 2023-02-13
68.3
best: 99.5 (ViT-H/14)
Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data arXiv:2302.06279
Image ClassificationonN-MNIST
Accuracy· 2023-02-13
99.4
best: 99.6 (STS-ResNet)
Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data arXiv:2302.06279

Audio1 result

Audio ClassificationonSHD
Percentage correct· 2022-04-21
87
best: 95.9 (Event-SSM)
MAP-SNN: Mapping Spike Activities with Multiplicity, Adaptability, and Plasticity into Bio-Plausible Spiking Neural Networks arXiv:2204.09893

Methodology1 result

ClassificationonSHD
Percentage correct· 2022-04-21
87
best: 95.9 (Event-SSM)
MAP-SNN: Mapping Spike Activities with Multiplicity, Adaptability, and Plasticity into Bio-Plausible Spiking Neural Networks arXiv:2204.09893