Network Pruning On Cifar 10
Métriques
Accuracy
GFLOPs
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Accuracy | GFLOPs | Paper Title | Repository |
|---|---|---|---|---|
| TAS-pruned ResNet-110 | 94.33 | 0.119 | Network Pruning via Transformable Architecture Search | - |
| MobileNet – Quantised | - | - | Quantisation and Pruning for Neural Network Compression and Regularisation | - |
| ShuffleNet – Quantised | - | - | Quantisation and Pruning for Neural Network Compression and Regularisation | - |
| AlexNet – Quantised | - | - | Quantisation and Pruning for Neural Network Compression and Regularisation | - |
0 of 4 row(s) selected.