Overcoming challenges in leveraging GANs for few-shot data augmentation

Christopher Beckham, Issam Laradji, Pau Rodriguez +3

In this paper, we explore the use of GAN-based few-shot data augmentation as a method to improve few-shot classification performance. We perform an exploration into how a GAN can b…