Web: http://arxiv.org/abs/2206.08358

June 17, 2022, 1:11 a.m. | Xiaoshuai Hao, Yi Zhu, Srikar Appalaraju, Aston Zhang, Wanqian Zhang, Bo Li, Mu Li

cs.LG updates on arXiv.org arxiv.org

Data augmentation is a necessity to enhance data efficiency in deep learning.
For vision-language pre-training, data is only augmented either for images or
for text in previous works. In this paper, we present MixGen: a joint data
augmentation for vision-language representation learning to further improve
data efficiency. It generates new image-text pairs with semantic relationships
preserved by interpolating images and concatenating text. It's simple, and can
be plug-and-played into existing pipelines. We evaluate MixGen on four
architectures, including CLIP, ViLT, …

arxiv augmentation cv data

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