Mixup Without Hesitation

This repo contains demo reimplementations of the CIFAR-100 training code in PyTorch based on the following paper:

Hao Yu, Huanyu Wang, Jianxin Wu. Mixup Without Hesitation.

How to use

git clone https://github.com/yuhao318/mwh.git
cd mwh
CUDA_VISIBLE_DEVICES=0 python easy_mwh.py --sess mwh_shufflenetv2_0.5 --alpha 0.5

Results

The following table shows accuracy with $\alpha = 0.5$ and 100 epochs in CIFAR-100:

Model	PreAct ResNet-18	DenseNet-161	Wide ResNet28-10
mixup	75.27%	78.71%	78.86%
mwh	77.00%	79.94%	79.94%