Results 281 to 290 of about 39,370 (305)
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Interpretable Generative Adversarial Networks
Proceedings of the AAAI Conference on Artificial Intelligence, 2022Learning a disentangled representation is still a challenge in the field of the interpretability of generative adversarial networks (GANs). This paper proposes a generic method to modify a traditional GAN into an interpretable GAN, which ensures that filters in an intermediate layer of the generator encode disentangled localized visual concepts.
Chao Li 0028 +5 more
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Generative Adversarial Networks in Cardiology
Canadian Journal of Cardiology, 2022Generative adversarial networks (GANs) are state-of-the-art neural network models used to synthesise images and other data. GANs brought a considerable improvement to the quality of synthetic data, quickly becoming the standard for data-generation tasks.
Skandarani, Youssef +3 more
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Robust generative adversarial network
Machine Learning, 2023zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shufei Zhang +6 more
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Generative Adversarial Networks for Classification
2017 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 2017Our team is reviewing tools and techniques that enable rapid prototyping. Generative Adversarial Networks (GANs) have been shown to reduce training requirements for detection problems. GANs compete generative and discriminative classifiers to improve detection performance.
Steven A. Israel +7 more
openaire +1 more source
Random Generative Adversarial Networks
The 11th International Symposium on Information and Communication Technology, 2022Khoa Nguyen 0003 +3 more
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Generative Adversarial Networks
ACM Computing Surveys, 2022Zhipeng Cai, Zuobin Xiong, Honghui Xu
exaly
A Survey on Generative Adversarial Networks: Variants, Applications, and Training
ACM Computing Surveys, 2022Xi Li
exaly
Generative Adversarial Networks in Computer Vision
ACM Computing Surveys, 2022Zhengwei Wang, Qi She, Tomáš Ward
exaly