RIS-GAN: Self-Supervised GANs via Recovering Initial State of Subimages
Pattern Recognition Letters（2022）
摘要
•RIS-GAN is proposed for the self-supervised learning of generative adversarial networks.•RIS-GAN greatly improves the quality of extracted features and generated images.•RIS-GAN brings the network more stable training property.
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关键词
Self-supervised learning,Generative adversarial networks,Representation learning,Image generation
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