Event Data Classification On Cifar10 Dvs 1
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Accuracy |
|---|---|
| online-training-through-time-for-spiking | 77.1 |
| convolutional-spiking-neural-networks-for | 69.2 |
| ecsnet-spatio-temporal-feature-learning-for | 72.7 |
| neuromorphic-data-augmentation-for-training | 81.7 |
| im-loss-information-maximization-loss-for | 72.60 |
| a-synapse-threshold-synergistic-learning | 78.50 |
| differentiable-spike-rethinking-gradient | 75.4 |