mixup: Beyond Empirical Risk Minimization

Benchmark Model Rank Results
domain-generalization-on-imagenet-aMixup (ResNet-50)#34Top-1 accuracy %: 6.6
image-classification-on-cifar-10DenseNet-BC-190 + Mixup#87Percentage correct: 97.3
image-classification-on-cifar-100DenseNet-BC-190 + Mixup#85Percentage correct: 83.20
image-classification-on-kuzushiji-mnistPreActResNet-18 + Input Mixup#8Accuracy: 98.41
semi-supervised-image-classification-on-cifar-6MixUp#17Percentage error: 47.43
semi-supervised-image-classification-on-svhn-1MixUp#14Accuracy: 60.03