Results 241 to 250 of about 27,491 (265)

Interpretable Generative Adversarial Networks

Proceedings of the AAAI Conference on Artificial Intelligence, 2022
Learning 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, Kelu Yao, Jin Wang 0039, Boyu Diao, Yongjun Xu 0001, Quanshi Zhang   +5 more
openaire   +1 more source

Generative Adversarial Networks in Cardiology

Canadian Journal of Cardiology, 2022
Generative 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, Lalande, Alain, Afilalo, Jonathan, Jodoin, Pierre-Marc   +3 more
openaire   +3 more sources

Generative Adversarial Networks for Classification

2017 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 2017
Our 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, J. H. Goldstein, Jeffrey S. Klein, James Talamonti, Franklin Tanner, Shane Zabel, Philip A. Sallee, Lisa McCoy   +7 more
openaire   +1 more source

Random Generative Adversarial Networks

The 11th International Symposium on Information and Communication Technology, 2022
Khoa Nguyen 0003, Nghia Vu, Dung Nguyen, Khoat Than   +3 more
openaire   +1 more source

The Role of Generative Adversarial Network in Medical Image Analysis: An In-depth Survey

ACM Computing Surveys, 2023
Manal AL Ghamdi
exaly  

Unified gradient- and intensity-discriminator generative adversarial network for image fusion

Information Fusion, 2022
Huabing Zhou, Jiayi Ma
exaly  

UIFGAN: An unsupervised continual-learning generative adversarial network for unified image fusion

Information Fusion, 2022
, Xiaoguang Mei, Zhuliang Le
exaly  

Hyperspectral Target Detection with an Auxiliary Generative Adversarial Network

Remote Sensing, 2021
Yanlong Gao, Xumin Yu
exaly  

Generative adversarial network in mechanical fault diagnosis under small sample: A systematic review on applications and future perspectives

ISA Transactions, 2022
Shuilong He, Tianci Zhang, Tongyang Pan   +2 more
exaly  

PSGAN: A Generative Adversarial Network for Remote Sensing Image Pan-Sharpening

IEEE Transactions on Geoscience and Remote Sensing, 2021
Yunhong Wang, Qizhi Xu, Qingjie Liu
exaly