Results 241 to 250 of about 60,338 (274)

MFF-GAN: An unsupervised generative adversarial network with adaptive and gradient joint constraints for multi-focus image fusion

Information Fusion, 2021
Hao Zhang, Zhuliang Le, Zhenfeng Shao
exaly  

Generative Adversarial Networks in Time Series: A Systematic Literature Review

ACM Computing Surveys, 2023
Eoin Brophy, Zhengwei Wang, Qi She
exaly  

IFL-GAN: Improved Federated Learning Generative Adversarial Network With Maximum Mean Discrepancy Model Aggregation

IEEE Transactions on Neural Networks and Learning Systems, 2023
Li Wei, Jinlin Chen, Zhidong Shen
exaly  

AT-GAN: A generative adversarial network with attention and transition for infrared and visible image fusion

Information Fusion, 2023
Yujing Rao, Dan Wu, Mina Han
exaly  

Generative Adversarial Networks (GANs) for Images

2023
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A Survey on Generative Adversarial Networks: Variants, Applications, and Training

ACM Computing Surveys, 2022
Abdul Jabbar, Songyuan Li
exaly  

NM-GAN: Noise-modulated generative adversarial network for video anomaly detection

Pattern Recognition, 2021
Ming Xu
exaly  

Generative Adversarial Networks (GANs): Introduction and vista

2023
Jyoti Kesarwani, Himanshu Rai
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KT-GAN: Knowledge-Transfer Generative Adversarial Network for Text-to-Image Synthesis

IEEE Transactions on Image Processing, 2021
Hongchen Tan, Xiuping Liu, Meng Liu
exaly  

Quantum Computing and Generative Adversarial Networks (GANs)

Advancement in technology has demonstrated a shift in application, interpretability, and technological acceptance. Quantum Computing and Generative Adversarial Networks (GANs) represent two transformative domains with immense potential for innovation and disruption.
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