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Autor:
Ritter, Dennis, Hemberger, Mike, Hönig, Marc, Stopp, Volker, Rodner, Erik, Hildebrand, Kristian
In this paper, we systematically analyze unsupervised domain adaptation pipelines for object classification in a challenging industrial setting. In contrast to standard natural object benchmarks existing in the field, our results highlight the most i
Externí odkaz:
http://arxiv.org/abs/2310.04757