English

Unsupervised Domain Adaptation with Deep Neural-Network

Computer Vision and Pattern Recognition 2023-07-13 v1 Machine Learning

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.

Keywords

Cite

@article{arxiv.2307.05601,
  title  = {Unsupervised Domain Adaptation with Deep Neural-Network},
  author = {Artem Bituitskii},
  journal= {arXiv preprint arXiv:2307.05601},
  year   = {2023}
}

Comments

Master's thesis, 34 pages, 13 figures

R2 v1 2026-06-28T11:27:38.920Z