Domain Generalization via Semi-supervised Meta Learning

1 code implementation • 26 Sep 2020 • Hossein Sharifi-Noghabi, Hossein Asghari, Nazanin Mehrasa, Martin Ester

To learn a domain-invariant representation, it also utilizes a novel alignment loss to ensure that the distance between pairs of class centroids, computed after adding the unlabeled samples, is preserved across different domains.

Domain Generalization Meta-Learning