Source-Free Domain Adaptation (SFDA) addresses the practical need to deploy machine learning models in novel environments without access to the original labelled source data. This paradigm emerges ...
Domain adaptation and transfer learning address the challenge of leveraging knowledge gained in one context to improve performance in another, particularly when labelled data are scarce or ...
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