CGE-GAN: Contrastive-guided evolutionary generative adversarial networks with dynamic adaptive weight sharing.
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| Title: | CGE-GAN: Contrastive-guided evolutionary generative adversarial networks with dynamic adaptive weight sharing. |
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| Authors: | Iqbal K; School of Computer, Nanjing University of Information Science and Technology, No.219, Ningliu Road, Nanjing, 210044, Jiangsu, China. Electronic address: kashif.iqbal@nuist.edu.cn., Yu X; School of Software, Nanjing University of Information Science and Technology, No.219, Ningliu Road, Nanjing, 210044, Jiangsu, China. Electronic address: xueyu@nuist.edu.cn., Rafique A; School of Computer, Nanjing University of Information Science and Technology, No.219, Ningliu Road, Nanjing, 210044, Jiangsu, China. Electronic address: atifa.rafiquel@nuist.edu.cn., Hamid M; School of Mathematics and Statistics, Nanjing University of Information Science and Technology, No.219, Ningliu Road, Nanjing, 210044, Jiangsu, China. Electronic address: mhamid@nuist.edu.cn., Aurangzeb K; Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, P. O. Box 51178, Riyadh, 11543, Saudi Arabia. Electronic address: kaurangzeb@ksu.edu.sa. |
| Source: | Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2026 Jul; Vol. 199, pp. 108702. Date of Electronic Publication: 2026 Feb 09. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Pergamon Press Country of Publication: United States NLM ID: 8805018 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2782 (Electronic) Linking ISSN: 08936080 NLM ISO Abbreviation: Neural Netw Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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