Image Classification On N Mnist
Metrics
Accuracy
Results
Performance results of various models on this benchmark
Model Name | Accuracy | Paper Title | Repository |
|---|---|---|---|
| FastSNN | 95.91 | Robust and accelerated single-spike spiking neural network training with applicability to challenging temporal tasks | - |
| Sparse Spiking Gradient Descent | 92.7 | Sparse Spiking Gradient Descent | - |
| STS-ResNet | 99.6 | Convolutional Spiking Neural Networks for Spatio-Temporal Feature Extraction | - |
| SNN | 99.4 | Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data | - |
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