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Deep Adversarial-Reconstruction-Classification Networks for Unsupervised Domain Adaptation

Recently, a new method of transfer learning called adversarial domain adaptation, embeds the idea of the generative adversarial networks (GAN) into the deep networks. It can learn the transferable representation of data for domain adaptation by the thought of the GAN. Although this method can extrac...

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Збережено в:
Автор: LIN Jiawei, WANG Shitong
Формат: Artigo
Мова:Chinês
Опубліковано: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2022-05-01
Серія:Jisuanji kexue yu tansuo
Предмети:
|transfer learning|adversarial domain adaptation|generative adversarial networks (gan)|deep adversarial-reconstruction-classification networks (darcn)|auto-encoder
Онлайн доступ:http://fcst.ceaj.org/fileup/1673-9418/PDF/1652926838955-711419766.pdf
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