Deep joint two-stream Wasserstein auto-encoder and selective attention alignment for unsupervised domain adaptation

Zhihong Chen; Chao Chen; Xinyu Jin; Yifu Liu; Zhaowei Cheng

doi:10.1007/s00521-019-04262-1

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Deep joint two-stream Wasserstein auto-encoder and selective attention alignment for unsupervised domain adaptation

Zhihong Chen Chao Chen Xinyu Jin Yifu Liu Zhaowei Cheng

Year: 2019 Journal: Neural Computing and Applications Vol: 32 (11)Pages: 7489-7502 Publisher: Springer Science+Business Media

DOI: 10.1007/s00521-019-04262-1

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Keywords:

Computer science Discriminative model Artificial intelligence Pattern recognition (psychology) Classifier (UML) Encoder Domain (mathematical analysis) Channel (broadcasting) Computer vision Mathematics

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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

Deep joint two-stream Wasserstein auto-encoder and selective attention alignment for unsupervised domain adaptation

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