DANT-GAN: A dual attention-based of nested training network for infrared and visible image fusion-Reference-Cited by-同舟云学术

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DANT-GAN: A dual attention-based of nested training network for infrared and visible image fusion

Published:2024-02 Issue: Volume:145 Page:104316
ISSN:1051-2004
Container-title:Digital Signal Processing
language:en
Short-container-title:Digital Signal Processing

Author:

Li Kaixin,Liu Gang^ORCID,Gu Xinjie,Tang Haojie,Xiong Jinxin,Qian Yao

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Signal Processing,Artificial Intelligence,Applied Mathematics,Computer Vision and Pattern Recognition,Statistics, Probability and Uncertainty,Computational Theory and Mathematics

Reference44 articles.

1. A new thermal infrared and visible spectrum images-based pedestrian detection system;Ayoub;Multimed. Tools Appl.,2019

2. Medical image fusion method by deep learning;Lv;Int. J. Cogn. Comput. Eng.,2021

3. Deep transfer learning for military object recognition under small training set condition;Pengwei;Neural Comput. Appl.,2019

4. Mdedfusion: a multi-level detail enhancement decomposition method for infrared and visible image fusion;Tang;Infrared Phys. Technol.,2022

5. L. Gang, B.D. Prasad, X. Gang, Multi-sensor image fusion based on fourth order partial differential equations, 2017, pp. 1–9.

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