Accetped by Information Fusion 103(2024) 102147, https://doi.org/10.1016/j.inffus.2023.102147
Hui Li*, Xiao-Jun Wu
paper, Arxiv

Python 3.7
Pytorch >= 1.8

KAIST (S. Hwang, J. Park, N. Kim, Y. Choi, I. So Kweon, Multispectral pedestrian detection: Benchmark dataset and baseline, in: Proceedings of the IEEE conference on computer vision and pattern recognition, 2015, pp. 1037–1045.) is utilized to train LRRNet.

If you have any question about this code, feel free to reach me(lihui.cv@jiangnan.edu.cn, hui_li_jnu@163.com)

@article{li2024crossfuse,
  title={{CrossFuse: A Novel Cross Attention Mechanism based Infrared and Visible Image Fusion Approach}},
  author={Li, Hui and Wu, Xiao-Jun},
  journal={Information Fusion},
  volume={103},
  pages={102147},
  year={2024},
  publisher={Elsevier}
}