Image Classification On N Mnist
Metriken
Accuracy
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
Modellname | 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 |
0 of 4 row(s) selected.