IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
E2MPL: An Enduring and Efficient Meta Prompt Learning Framework for Few-Shot Unsupervised Domain Adaptation.
Wanqi Yang, Haoran Wang, Wei Wang, Lei Wang, Ge Song, Ming Yang, Yang Gao
Published: 202510.1109/TIP.2025.3645560
Abstract
Few-shot unsupervised domain adaptation (FS-UDA) leverages a limited amount of labeled data from a source domain to enable accurate classification in an unlabeled target domain. Despite recent advancements, current approaches of FS-UDA continue to co…
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