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概括

本研究介绍了使用远距离感知对比学习 (IM-DCL) 进行增强信息最大化的无源跨域短暂学习 (SF-CDFSL). 在没有源数据的情况下,IM-DCL有效地解决了域差异,超过了对基准数据集的现有方法.

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