Domain consistency regularization for unsupervised multi-source domain adaptive classification

• المؤلفون الرئيسيون: Luo, Zhipeng, Zhang, Xiaobing, Lu, Shijian, Yi, Shuai
• مؤلفون آخرون: School of Computer Science and Engineering
• التنسيق: مقال
• اللغة: English
• منشور في: 2023
• الموضوعات: Engineering::Computer science and engineering; Domain Adaptation; Transfer Learning
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/164101

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...