@inproceedings{fa8b6e63d3f24f18b82523c810b17e73,
title = "Single-task Temporal Face Synthesis Model Based on Migration Confrontation",
abstract = "Quality of face images generated by existing methods is not high and there is a lack of research on Asian face datasets. For synthesizing face images in a specific age domain, single-task temporal face synthesis model based on migration confrontation is proposed here. Transfer learning is used to redesign the network structure of the generated confrontation network and network structure of the discriminant network. And we also improve the loss function, so that model can better obtain feature information in a small amount of data set in a single-task scenario. Through experimental analysis, the model proposed in this paper performs better under objective evaluation indicators than existing models, and the model is more scalable and diverse.",
keywords = "Generative Adversarial Network, Temporal Face Synthesis, Transfer Learning",
author = "Linlin Tang and Ruipei Sun and Shiyu Qin and Xing Huang and Yijie Fan and Minghua Hou",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 7th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2021 ; Conference date: 07-11-2021 Through 08-11-2021",
year = "2021",
doi = "10.1109/CCIS53392.2021.9754660",
language = "英语",
series = "Proceedings of 2021 7th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "208--212",
editor = "Deyi Li and Mengqi Zhou and Weining Wang and Yaru Zou and Meng Luo and Qian Zhang",
booktitle = "Proceedings of 2021 7th IEEE International Conference on Cloud Computing and Intelligence Systems, CCIS 2021",
address = "美国",
}