SwinFuse: A Residual Swin Transformer Fusion Network for Infrared and Visible Images-Reference-Cited by-同舟云学术

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SwinFuse: A Residual Swin Transformer Fusion Network for Infrared and Visible Images

Published:2022 Issue: Volume:71 Page:1-12
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Wang Zhishe¹^ORCID,Chen Yanlin¹^ORCID,Shao Wenyu¹^ORCID,Li Hui²^ORCID,Zhang Lei³^ORCID

Affiliation:

1. School of Applied Science, Taiyuan University of Science and Technology, Taiyuan, China

2. School of Artificial Intelligence and Computer Science, Jiangnan University, Wuxi, China

3. School of Mechatronic Engineering, Nanyang Normal University, Nanyang, China

Funder

Fundamental Research Program of Shanxi Province

Open Foundation of Shanxi Key Laboratory of Signal Capturing and Processing

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/9717300/09832006.pdf?arnumber=9832006

Reference47 articles.

1. Microsoft COCO: Common objects in context;lin;Vision Computer,2014

2. GANMcC: A Generative Adversarial Network With Multiclassification Constraints for Infrared and Visible Image Fusion

3. DDcGAN: A Dual-Discriminator Conditional Generative Adversarial Network for Multi-Resolution Image Fusion

4. U2Fusion: A Unified Unsupervised Image Fusion Network

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