Showing 2,001 - 2,020 results of 2,079 for search '"generative adversarial network"', query time: 2.26s Refine Results
  1. 2001
    by Chen Zhao, Renjun Shuai, Li Ma, Wenjia Liu, Die Hu, Menglin Wu
    Published 2021-01-01
    ... augmentation methods based on generative adversarial networks (GANs) to assist skin lesion classification...
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    Article
  2. 2002
    ... by the excellent image-to-image translation performance of Generative Adversarial Networks (GANs), a supervised...
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    Article
  3. 2003
    by Yutian Wang, Guochen Yu, Jingling Wang, Hui Wang, Qin Zhang
    Published 2020-01-01
    ...Generative adversarial networks (GANs) have been increasingly used as feature mapping functions...
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    Article
  4. 2004
    by Bin Jiang, Wei Huang, Yun Huang, Chao Yang, Fangqiang Xu
    Published 2020-01-01
    ... adversarial networks (GANs), which have shown promising results in the image inpainting field. However...
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    Article
  5. 2005
    by Jinke Wang, Xiang Li, Peiqing Lv, Changfa Shi
    Published 2021-01-01
    ... mechanism into the U-shaped network. In addition, enhanced super-resolution generative adversarial networks...
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    Article
  6. 2006
    by Harold Achicanoy, Deisy Chaves, Maria Trujillo
    Published 2021-08-01
    ... generative adversarial networks, such as StyleGAN, has arisen as a way to create training data with symmetric...
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    Article
  7. 2007
    ... for the variables (wrinkles/folds vs facial muscles), we used Generative Adversarial Networks to make faces look...
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    Article
  8. 2008
    ... resolution. Results of two benchmarks, Siamese deep matching network, and conditional generative adversarial...
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    Article
  9. 2009
    ... on GANs (Generative Adversarial Networks). We prove that the transformed index leaks no information about...
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    Article
  10. 2010
    ...-collapse” problem in Generative Adversarial Networks. In this paper, we try to answer the following...
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    Article
  11. 2011
  12. 2012
    by Bo-Cheng Yang, 楊博丞
    Published 2019
    ... dataset and an unlabeled target dataset, recent works reveal that Generative Adversarial Networks (GANs...
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  13. 2013
    by Lai, Kuan-Yu, 賴冠宇
    Published 2019
    ... (GAIL), which is extended from RL. It combines the characteristics of Generating Adversarial Networks...
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  14. 2014
    by Zhi-Hong Rao, 饒志鴻
    Published 2018
    ... numbers of training data. Generative Adversarial Networks (GAN) is one of the most popular models in many...
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  15. 2015
  16. 2016
  17. 2017
  18. 2018
    by Patsanis, Alexandros
    Published 2019
    ..., this project makes use of Generative Adversarial Networks (GANs), which learn a manifold of the normal network...
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  19. 2019
  20. 2020
    by Yellapantula, Sudha Ravali
    Published 2019
    .... To address this issue, we used Generative Adversarial Networks, CycleGAN to be precise, for the generation...
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