Not every sample is efficient: Analogical generative adversarial network for unpaired image-to-image translation

标题
Not every sample is efficient: Analogical generative adversarial network for unpaired image-to-image translation
作者
关键词
Unpaired image-to-image translation, Generative adversarial network, Metric learning, Analogical learning
出版物
NEURAL NETWORKS
Volume 148, Issue -, Pages 166-175
出版商
Elsevier BV
发表日期
2022-01-29
DOI
10.1016/j.neunet.2022.01.013

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