Network Pruning On Cifar 10
评估指标
Accuracy
GFLOPs
评测结果
各个模型在此基准测试上的表现结果
模型名称 | 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.