Domain Generalization via Adversarially Learned Novel Domains
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3209815
Abstract: This study focuses on the domain generalization task, which aims to learn a model that generalizes to unseen domains by utilizing multiple training domains. More specifically, we follow the idea of adversarial data augmentation, which… read more here.
Keywords: training; domain generalization; novel domains; augmentation ... See more keywords