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2001“... augmentation methods based on generative adversarial networks (GANs) to assist skin lesion classification...”
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2002“... by the excellent image-to-image translation performance of Generative Adversarial Networks (GANs), a supervised...”
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2003“...Generative adversarial networks (GANs) have been increasingly used as feature mapping functions...”
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2004“... adversarial networks (GANs), which have shown promising results in the image inpainting field. However...”
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2005“... mechanism into the U-shaped network. In addition, enhanced super-resolution generative adversarial networks...”
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2006“... generative adversarial networks, such as StyleGAN, has arisen as a way to create training data with symmetric...”
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2007“... for the variables (wrinkles/folds vs facial muscles), we used Generative Adversarial Networks to make faces look...”
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2008“... resolution. Results of two benchmarks, Siamese deep matching network, and conditional generative adversarial...”
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2009by Takao Murakami, Ryo Fujita, Tetsushi Ohki, Yosuke Kaga, Masakazu Fujio, Kenta Takahashi“... on GANs (Generative Adversarial Networks). We prove that the transformed index leaks no information about...”
Published 2019-01-01
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2010“...-collapse” problem in Generative Adversarial Networks. In this paper, we try to answer the following...”
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2011
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2012“... dataset and an unlabeled target dataset, recent works reveal that Generative Adversarial Networks (GANs...”
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2013“... (GAIL), which is extended from RL. It combines the characteristics of Generating Adversarial Networks...”
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2014“... numbers of training data. Generative Adversarial Networks (GAN) is one of the most popular models in many...”
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2015
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2018by Patsanis, Alexandros“..., this project makes use of Generative Adversarial Networks (GANs), which learn a manifold of the normal network...”
Published 2019
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2019
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2020by Yellapantula, Sudha Ravali“.... To address this issue, we used Generative Adversarial Networks, CycleGAN to be precise, for the generation...”
Published 2019
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