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In search of a generalizable method for source-free domain adaptation
July 26, 2023, 4:33 p.m. | Google AI (noreply@blogger.com)
Google AI Blog ai.googleblog.com
Deep learning has recently made tremendous progress in a wide range of problems and applications, but models often fail unpredictably when deployed in unseen domains or distributions. Source-free domain adaptation (SFDA) is an area of research that aims to design methods for adapting a pre-trained model (trained on a “source domain”) to a new “target domain”, using only unlabeled data from the latter.
Designing adaptation methods for deep …
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