S2F-Net: Shared-Specific Fusion Network for Infrared and Visible Image Fusion
Author:
Affiliation:
1. Institute of Software, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China
2. School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3652583.3658100
Reference32 articles.
1. ReCoNet: Recurrent Correction Network for Fast and Efficient Multi-modality Image Fusion
2. LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
3. Yuxuan Jiang, Yi Ding, Guobin Zhu, Zhen Qin, Minghui Pang, and Mingsheng Cao. 2023. Diff-SFCT: A Diffusion Model with Spatial-Frequency Cross Transformer for Medical Image Segmentation. In 2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 1174--1181.
4. DenseFuse: A Fusion Approach to Infrared and Visible Images
5. NestFuse: An Infrared and Visible Image Fusion Architecture Based on Nest Connection and Spatial/Channel Attention Models
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