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Unsupervised Domain Adaptation (UDA) aims at improving the generalization capability of a model trained on a source domain to perform well on a target domain for which no labeled data is available. In this paper, we consider the semantic segmentation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::79670e0684d043a335306793bab1bff2
http://hdl.handle.net/11577/3390552
http://hdl.handle.net/11577/3390552