Generative adversarial networks: a survey on applications and challenges
Generative adversarial networks: a survey on applications and challenges
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Publisher
London: Springer London
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Language
English
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London: Springer London
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Contents
Deep neural networks have attained great success in handling high dimensional data, especially images. However, generating naturalistic images containing ginormous subjects for different tasks like image classification, segmentation, object detection, reconstruction, etc., is continued to be a difficult task. Generative modelling has the potential...
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Full title
Generative adversarial networks: a survey on applications and challenges
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TN_cdi_proquest_journals_2919905710
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2919905710
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ISSN
2192-6611
E-ISSN
2192-662X
DOI
10.1007/s13735-020-00196-w
