Multicomponent adversarial domain adaptation: a general framework

Multicomponent adversarial domain adaptation: a general framework

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...

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Bibliographic Details
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: Journal Article
Language:English
Published: 2023
Subjects:
Engineering::Computer science and engineering
Adversarial Training
Bipartite Graph
Online Access:https://hdl.handle.net/10356/170572

Internet

https://hdl.handle.net/10356/170572

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