Multicomponent adversarial domain adaptation: a general framework

• Main Authors: Yi, Chang'an, Chen, Haotian, Xu, Yonghui, Chen, Huanhuan, Liu, Yong, Tan, Haishu, Yan, Yuguang, Yu, Han
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Computer science and engineering; Adversarial Training; Bipartite Graph
• Online Access: https://hdl.handle.net/10356/170572
• Institution: Nanyang Technological University

Domain adaptation (DA) aims to transfer knowledge from one source domain to another different but related target domain. The mainstream approach embeds adversarial learning into deep neural networks (DNNs) to either learn domain-invariant features to reduce the domain discrepancy or generate data to...