  This report contributes to the field of unsupervised domain adaptation by
providing an analysis of existing methods, introducing a new approach, and
demonstrating the potential for improving visual recognition tasks across
different domains. The results of this study open up opportunities for further
study and development of advanced methods in the field of domain adaptation.
