Citation: Lin Yi-Lun, Dai Xing-Yuan, Li Li, Wang Xiao, Wang Fei-Yue. The new frontier of AI research: generative adversarial networks. Acta Automatica Sinica, 2018, 44(5): 775-792 近年来,人工智能领域,特别是机器学习方面的研究取得了长足的进步。得益于计算能力的提高,信息化工具的普及以及数据...
Generative adversarial network based data augmentation for CNN based detection of Covid-19Rutwik Gulakala, Bernd Markert & Marcus Stoffel Scientific Reports volume 12, Article number: 19186 (2022) Cite this article 3393 Accesses 29 Citations 1 Altmetric Metrics details ...
Generative Adversarial Nets. In: Advances in neural information processing systems, vol. 27. 2014. Google Scholar [25] Karras T, Laine S, Aila T. A Style-Based Generator Architecture for Generative Adversarial Networks. In: Proceedings of the IEEE/CVF conference on computer vision and pattern ...
Citation Excerpt : However, the RUL methods based on deep learning demand sufficient and varied samples of critical components from run to failure. To compensate for the lack of samples, generative adversarial networks (GAN) and conditional generative adversarial networks (CGAN) are proposed [20–22...
20k Accesses 110 Citations 3 Altmetric Metrics details Abstract Background Recent advances in deep learning techniques have led to improved diagnostic abilities in ophthalmology. A generative adversarial network (GAN), which consists of two competing types of deep neural networks, including a generator ...
Generative Adversarial Networks (GANs) resources sorted by citations - GitHub - GKalliatakis/Delving-deep-into-GANs: Generative Adversarial Networks (GANs) resources sorted by citations
28k Accesses 144 Citations 62 Altmetric Metrics details Abstract A major challenge in materials design is how to efficiently search the vast chemical design space to find the materials with desired properties. One effective strategy is to develop sampling algorithms that can exploit both explicit ...
et al. CropPainter: an effective and precise tool for trait-to-image crop visualization based on generative adversarial networks. Plant Methods 18, 138 (2022). https://doi.org/10.1186/s13007-022-00970-3 Download citation Received04 July 2022 Accepted05 December 2022 Published15 December 2022 ...
Hyperspectral imaging combined with generative adversarial network (GAN)-based data augmentation to identify haploid maize kernels 2022, Journal of Food Composition and Analysis Citation Excerpt : This mechanism facilitates model converge and avoids model collapse (Qin et al., 2020). Therefore, with the...
Citation Excerpt : Generative adversarial networks (GANs) (Goodfellow et al., 2014) have shown great promise in the field of computer vision, including image generation (Brock et al., 2018; Karras et al., 2017; Kim, Kim et al., 2022; Park et al., 2022; Radford et al., 2015; Srivas...