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Sep, 2023
让UDA中的U有意义:无监督领域自适应的不变一致性学习
Make the U in UDA Matter: Invariant Consistency Learning for Unsupervised Domain Adaptation
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Zhongqi Yue, Hanwang Zhang, Qianru Sun
TL;DR
通过提出不变的一致性学习 (ICON) 方法,本研究在领域自适应和无监督领域适应方面取得了最先进的性能,并在具有挑战性的 WILDS 2.0 基准测试上优于传统方法。
Abstract
domain adaptation
(DA) is always challenged by the
spurious correlation
between domain-invariant features (e.g., class identity) and domain-specific features (e.g., environment) that does not generalize to the ta
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