2021
Wasserstein Barycenter for Multi-Source Domain Adaptation
CVPR 2021poster
Multi-source domain adaptation is a key technique that allows a model to be trained on data coming from various probability distribution. To overcome the challenges posed by this learning scenario, we propose a method for constructing an intermediate domain between sources and target domain, the Was…