Contrasting augmented features for domain adaptation with limited target domain data

Xi Yu, Xiang Gu, Jian Sun

Abstract: Highlights•We study a challenging but realistic setting that the target domain data are limited.•We propose a novel method which generates and contrasts augmented features.•Extensive experiments demonstrate the superiority of our method.•Our method can be extended to the vanilla UDA setting and is verified to work well.