Classification on DVS-Gesture
98.96Top-1 AccMorphSNN
Evaluation Results
| Method | Links | |
|---|---|---|
| MorphSNNArchitecture=DGD-SNN-7-3, T=162026.03 | 98.96 | |
| CogniSNNArchitecture=ER-RGA-7, T=162026.03 | 98.61 | |
| Spike-Driven TransformerArchitecture=2-512, Steps=162026.05 | 98.61 | |
| TA-SNNArchitecture=CNN, Steps=602026.05 | 98.6 | |
| SpikformerArchitecture=Spikformer-2-256, T=162026.03 | 98.3 | |
| SpikingformerArchitecture=Spikingformer-2-256, T=162026.03 | 98.3 | |
| Spike-D- TransformerArchitecture=S-d-Transformer-2-256, T=162026.03 | 98.26 | |
| SEW-ResNetArchitecture=ConvNet, T=162026.03 | 97.92 | |
| SpikingMoEArchitecture=2-512, Steps=162026.05 | 97.91 | |
| SEW-ResNetArchitecture=ResNet-18, Steps=162026.05 | 97.9 | |
| LIAF-NetArchitecture=VGG, Steps=602026.05 | 97.6 | |
| PLIFArchitecture=CNN, Steps=202026.05 | 97.6 | |
| PLIFMethod=Spike-based BP2022.06 | 97.57 | |
| Spike-Driven TransformerArchitecture=2-512, Steps=102026.05 | 97.56 | |
| STL-SNNMethod=Spike-based BP, Selection=Best top-12022.06 | 97.22 | |
| RolloutArchitecture=DenseNet, Steps=2402026.05 | 97.2 | |
| STBP-tdBNArchitecture=ResNet-19, Steps=402026.05 | 96.9 | |
| STBP-tdBNMethod=ANN2SNN2022.06 | 96.87 | |
| STS-ResNet2020.03 | 96.7 | |
| MorphSNNArchitecture=DGD-SNN-7-3, T=52026.03 | 96.53 | |
| Spike-Driven TransformerArchitecture=2-256, Steps=102026.05 | 95.83 | |
| SpikingMoEArchitecture=2-256, Steps=162026.05 | 95.83 | |
| AERMethod=STDP2022.06 | 95.75 | |
| DECOLLEArchitecture=CNN, Steps=5002026.05 | 95.5 | |
| CogniSNNArchitecture=WS-RGA-7, T=52026.03 | 95.41 | |
| pointnet++2020.03 | 95.32 | |
| CNN2020.03 | 94.59 | |
| SpikingMoEArchitecture=2-256, Steps=102026.05 | 94.44 | |
| Yang+Hardware=Simulated, Number of nodes=3+2026.03 | 94 | |
| SlayerArchitecture=CNN2026.05 | 93.6 | |
| SpikingformerArchitecture=Spikingformer-2-256, T=52026.03 | 93.4 | |
| SpikingMoEArchitecture=2-512, Steps=102026.05 | 92.7 | |
| SSNNArchitecture=VGG-9, T=52026.03 | 90.74 | |
| MLFArchitecture=VGG-9, T=52026.03 | 85.77 |