MDANNet: A Multi-Scale Dual-Route Attention Nested Fusion Network for Infrared and Visible Images-Reference-Cited by-同舟云学术

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MDANNet: A Multi-Scale Dual-Route Attention Nested Fusion Network for Infrared and Visible Images

Published:2024-04-26 Issue: Volume:2018 Page:779-786
ISSN:
Container-title:Proceedings of the 5th International Conference on Computer Information and Big Data Applications
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Author:

Li Di¹^ORCID,Hu Xinglong¹^ORCID,Cheng Zihao²^ORCID,Wang Ying²^ORCID

Affiliation:

1. School of Computer Science, Hubei University of Technology, China

2. Wuchang Shouyi University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3671151.3671289

Reference24 articles.

1. Li B, Lu J, Liu Z, SBIT-Fuse: Infrared and Visible Image Fusion Based on Symmetrical Bilateral Interaction and Transformer[J]. Infrared Physics & Technology, 2024: 105269.

2. Joint medical image fusion, denoising and enhancement via discriminative low-rank sparse dictionaries learning;Li H.;Pattern Recognition

3. Zhang X, Shao J, Bian H, TIM‐Net: A multi‐label classification network for TCM tongue images fusing global‐local features[J]. IET Image Processing, 2024.

4. A fusion approach to infrared and visible images;Li H.;IEEE Transactions on Image Processing

5. Shen, S.; Li, D.; Mei, L.; Xu, C.; Ye, Z.; Zhang, Q.; Hong, B.; Yang, W.; Wang, Y., DFA-Net: Multi-Scale Dense Feature-Aware Network via Integrated Attention for Unmanned Aerial Vehicle Infrared and Visible Image Fusion. Drones 2023, 7, (8), 517.

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