ImprovedSSGAN: Ranking Discriminator With Semi-Supervised GAN for Ordinal Information

We propose Improved SSGAN, a multi-Generator/Discriminator semi-supervised GAN architecture to address the well-known problem of mode collapse in addition to an improved classification for ordinal information. To reduce the vulnerability of the generator to a relatively superior discriminator, semi-...

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Bibliografiske detaljer

Principais autores:	Yalew Tolcha, Kyoung Hoon Kim, Daeyoung Kim
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2023-01-01
Serier:	IEEE Access
Fag:	Image generation age estimation ranking algorithms semi-supervised classification generative adversarial network (GAN)
Online adgang:	https://ieeexplore.ieee.org/document/10040653/
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