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View all- Mo ZZhang ZTsui K(2024)Distance-Aware Risk Minimization for Domain Generalization in Machine Fault DiagnosisIEEE Internet of Things Journal10.1109/JIOT.2024.344125311:22(37287-37301)Online publication date: 15-Nov-2024
Domain generalization (DG) aims to transfer the knowledge learned in the source domain to the unseen target domain. Most DG methods focus on studying how to learn domain-invariant representations that remain invariant across different domains. For ...
The performance of existing underwater object detection methods severely degrades when they face the domain shift caused by complicated underwater environments. Due to the limited domain diversity in collected data, deep detectors ...
In this paper we propose a sequential learning framework for Domain Generalization (DG), the problem of training a model that is robust to domain shift by design. Various DG approaches have been proposed with different motivating intuitions, but ...
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