Iterative Refinement for Multi-Source Visual Domain Adaptation
IEEE Transactions on Knowledge and Data Engineering(2022)
摘要
One of the main challenges in multi-source domain adaptation is how to reduce the domain discrepancy between each source domain and a target domain, and then evaluate the domain relevance to determine how much knowledge should be transferred from different source domains to the target domain. However, most prior approaches barely consider both discrepancies and relevance among domains. In this pap...
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关键词
Iterative algorithms,Feature extraction,Training,Adaptation models,Support vector machines,Visualization,Data models
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