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Unsupervised multi-modal image translation based on the squeeze-and-excitation mechanism and feature attention module

胡振涛 HU Chonghao YANG Haoran SHUAI Weiwei

High Technology Letters2024，Vol.30Issue(1)：P.23-30,8.

High Technology Letters2024，Vol.30Issue(1)：P.23-30,8.DOI:10.3772/j.issn.1006-6748.2024.01.003

Unsupervised multi-modal image translation based on the squeeze-and-excitation mechanism and feature attention module

胡振涛 ¹HU Chonghao ¹YANG Haoran ¹SHUAI Weiwei²

作者信息

1. School of Artificial Intelligence,Henan University,Zhengzhou 450046,P.R.China
2. 95795 Troops of the PLA,Guilin 541003,P.R.China
折叠

摘要

关键词

multi-modal image translation/generative adversarial network(GAN)/squeezeand-excitation(SE)mechanism/feature attention(FA)module

分类

信息技术与安全科学

引用本文复制引用

胡振涛,HU Chonghao,YANG Haoran,SHUAI Weiwei..Unsupervised multi-modal image translation based on the squeeze-and-excitation mechanism and feature attention module[J].High Technology Letters,2024,30(1):P.23-30,8.

基金项目

the National Natural Science Foundation of China(No.61976080) （No.61976080）

the Academic Degrees&Graduate Education Reform Project of Henan Province(No.2021SJGLX195Y) （No.2021SJGLX195Y）

the Teaching Reform Research and Practice Project of Henan Undergraduate Universities(No.2022SYJXLX008) （No.2022SYJXLX008）

the Key Project on Research and Practice of Henan University Graduate Education and Teaching Reform(No.YJSJG2023XJ006)。（No.YJSJG2023XJ006）

High Technology Letters

ISSN：1006-6748

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