Unsupervised Domain Adaptation with Deep Neural-Network

Authors: Artem Bituitskii

Master's thesis, 34 pages, 13 figures

Abstract: 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.

Submitted to arXiv on 10 Jul. 2023

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