A survey and identification of generative adversarial network technology-based architectural variants and applications in computer vision

Author:

Zala Kirtirajsinh,Thumar Deep,Thakkar Hiren KumarORCID,Maheshwari Urva,Acharya Biswaranjan

Publisher

Springer Science and Business Media LLC

Reference115 articles.

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3. Arjovsky M, Bottou L (2017) Towards principled methods for training generative adversarial networks. https://doi.org/10.48550/ARXIV.1701.04862, arXiv:1701.04862

4. Arjovsky M, Chintala S, Bottou L (2017) Wasserstein generative adversarial networks. In: Precup D, Teh YW (eds) Proceedings of the 34th international conference on machine learning, proceedings of machine learning research, vol. 70 PMLR, pp 214–223. https://proceedings.mlr.press/v70/arjovsky17a.html

5. Arora R, Zhang L, Pecht M (2020) Generative adversarial networks for electrical prognostics. Progn Health Manag 1(2):15–23

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