Transferable attention networks for adversarial domain adaptation

Changchun Zhang; Qingjie Zhao; Yu Wang

doi:10.1016/j.ins.2020.06.016

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JOURNAL ARTICLE

Transferable attention networks for adversarial domain adaptation

Changchun Zhang Qingjie Zhao Yu Wang

Year: 2020 Journal: Information Sciences Vol: 539 Pages: 422-433 Publisher: Elsevier BV

DOI: 10.1016/j.ins.2020.06.016

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Keywords:

Computer science Adversarial system Exploit Classifier (UML) Domain adaptation Artificial intelligence Domain (mathematical analysis) Transfer of learning Matching (statistics) Machine learning Adaptation (eye) Feature (linguistics) Feature matching Pattern recognition (psychology) Feature extraction Mathematics Computer security

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Domain Adaptation and Few-Shot Learning

Physical Sciences → Computer Science → Artificial Intelligence

Multimodal Machine Learning Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

COVID-19 diagnosis using AI

Health Sciences → Medicine → Radiology, Nuclear Medicine and Imaging

Transferable attention networks for adversarial domain adaptation

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