ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data
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DOI: 10.48550/arxiv.2210.15137
Abstract: Generative Adversarial Networks (GANs) typically suffer from overfitting when limited training data is available. To facilitate GAN training, current methods propose to use data-specific augmentation techniques. Despite the effectiveness, it is difficult for these methods… read more here.
Keywords: scoremix scalable; training; scalable augmentation; augmentation ... See more keywords