Is Generative Modeling-based Stylization Necessary for Domain Adaptation in Regression Tasks?

no code implementations • 2 Jun 2023 • JinMan Park, Francois Barnard, Saad Hossain, Sirisha Rambhatla, Paul Fieguth

Unsupervised domain adaptation (UDA) aims to bridge the gap between source and target domains in the absence of target domain labels using two main techniques: input-level alignment (such as generative modeling and stylization) and feature-level alignment (which matches the distribution of the feature maps, e. g. gradient reversal layers).

Domain Generalization Image Classification +3