SSL-WAEIE:Self-Supervised Learning With Weighted Auto-Encoding and Information Exchange for Infrared and Visible Image Fusion

被引：0
|
作者：
Gucheng Zhang [1 ]
Rencan Nie [1 ,2 ,3 ]
Jinde Cao [4 ,5 ,6 ]
机构：
[1] the School of Information Science and Engineering, Yunnan University
[2] the Yunnan Key Laboratory of Intelligent Systems and Computing
[3] the School of Automation, Southeast University
[4] IEEE
[5] the School of Mathematics, Southeast University
[6] the Yonsei Frontier Laboratory, Yonsei University
来源：
IEEE/CAA Journal of Automatica Sinica | 2022年 / 9卷 / 09期
基金：
中国国家自然科学基金; 中国博士后科学基金;
关键词：
D O I：
暂无
中图分类号：
TP391.41 [];
学科分类号：
080203 ;
摘要：
Dear editor,Infrared and visible image fusion (IVIF) technologies are to extract complementary information from source images and generate a single fused result [1], which is widely applied in various high-level visual tasks such as segmentation and object detection [2].
引用
收藏
页码：1694 / 1697
页数：4
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