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TokenMixup: Efficient Attention-guided Token-level Data Augmentation for Transformers

Mixup is a commonly adopted data augmentation technique for image classification. Recent advances in mixup methods primarily focus on mixing based on saliency.

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Cite this as

Hyeong Kyu Choi, Joonmyung Choi, Hyunwoo J. Kim (2024). Dataset: TokenMixup: Efficient Attention-guided Token-level Data Augmentation for Transformers. https://doi.org/10.57702/vwwj19a7

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Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Defined In	https://doi.org/10.48550/arXiv.2210.07562
Author	Hyeong Kyu Choi
More Authors	Joonmyung Choi Hyunwoo J. Kim
Homepage	https://github.com/mlvlab/TokenMixup