Robust Local Preserving and Global Aligning Network for Adversarial Domain Adaptation
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DOI: 10.1109/tkde.2021.3112815
Abstract: Unsupervised domain adaptation (UDA) requires source domain samples with clean ground truth labels during training. Accurately labeling a large number of source domain samples is time-consuming and laborious. An alternative is to utilize samples with… read more here.
Keywords: domain adaptation; robust local; global aligning; domain ... See more keywords