Semantically Proportional Mixing for Augmenting Fine-grained Data
SnapMix SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data (AAAI 2021) PyTorch implementation of SnapMix | paper Cite @inproceedings{huang2021snapmix, title={SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data}, author={Shaoli Huang, Xinchao Wang, and Dacheng Tao}, year={2021}, booktitle={AAAI Conference on Artificial Intelligence}, } Setup Install Package Dependencies torch torchvision PyYAML easydict tqdm scikit-learn efficientnet_pytorch pandas opencv Datasets create a soft link to the dataset directory CUB dataset ln -s /your-path-to/CUB-dataset data/cub Car dataset ln -s /your-path-to/Car-dataset data/car Aircraft dataset ln -s /your-path-to/Aircraft-dataset […]
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