MixRNet(Using mixup as regularization and tuning hyper-parameters for ResNets)
Using mixup data augmentation as reguliraztion and tuning the hyper parameters of ResNet 50 models to achieve 94.57% test accuracy on CIFAR-10 Dataset. Link to paper
| network | error % |
|---|---|
| resnet-50 | 6.97 |
| resnet-110 | 6.61 |
| resnet-164 | 5.93 |
| resnet-1001 | 7.61 |
| This method | 4.87 |