AFT: Adaptive Fusion Transformer for Visible and Infrared Images-Reference-Cited by-同舟云学术

AFT: Adaptive Fusion Transformer for Visible and Infrared Images

Published:2023 Issue: Volume:32 Page:2077-2092
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Chang Zhihao¹,Feng Zhixi²^ORCID,Yang Shuyuan²^ORCID,Gao Quanwei³^ORCID

Affiliation:

1. Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Xidian University, Xi’an, China

2. School of Artificial Intelligence, Xi’an, China

3. School of Artificial Intelligence, Xidian University, Xian, China

Funder

National Natural Science Foundation of China

Science and Technology Innovation Team in Shaanxi Province of China

Foundation of Intelligent Decision and Cognitive Innovation Center of State Administration of Science, Technology and Industry for National Defense, China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9991910/10091771.pdf?arnumber=10091771

Reference57 articles.

1. Image fusion in the loop of high-level vision tasks: A semantic-aware real-time infrared and visible image fusion network

2. NestFuse: An Infrared and Visible Image Fusion Architecture Based on Nest Connection and Spatial/Channel Attention Models

3. IFCNN: A general image fusion framework based on convolutional neural network

4. DenseFuse: A Fusion Approach to Infrared and Visible Images

5. Attention is all you need;vaswani;Proc Adv Neural Inf Process Syst,2017

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