Domain consistency regularization for unsupervised multi-source domain adaptive classification

Domain consistency regularization for unsupervised multi-source domain adaptive classification

Deep learning-based multi-source unsupervised domain adaptation (MUDA) has been actively studied in recent years. Compared with single-source unsupervised domain adaptation (SUDA), domain shift in MUDA exists not only between the source and target domains but also among multiple source domains. Most...

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書目詳細資料
Main Authors:	Luo, Zhipeng, Zhang, Xiaobing, Lu, Shijian, Yi, Shuai
其他作者:	School of Computer Science and Engineering
格式:	Article
語言:	English
出版:	2023
主題:	Engineering::Computer science and engineering Domain Adaptation Transfer Learning
在線閱讀:	https://hdl.handle.net/10356/164101
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!
機構:	Nanyang Technological University
語言:	English

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