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

页码：1694 / 1697

页数：4

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