Res2Fusion: Infrared and visible image fusion based on dense Res2net and double nonlocal attention models

January 9, 2022 ยท View on GitHub

Zhishe Wang, Yuanyuan Wu, Junyao Wang, Jiawei Xu, Wenyu Shao

paper

Platform

Python 3.7
Pytorch >=1.6.0

Training Dataset

MS-COCO 2014 (T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollar, and C. L. Zitnick. Microsoft coco: Common objects in context. In ECCV, 2014. 3-5.) is utilized to train our auto-encoder network.

Citation

If this work is helpful to you, please cite it as:

@ARTICLE{9670874,
  author={Wang, Zhishe and Wu, Yuanyuan and Wang, Junyao and Xu, Jiawei and Shao, Wenyu},
  journal={IEEE Transactions on Instrumentation and Measurement}, 
  title={Res2Fusion: Infrared and visible image fusion based on dense Res2net and double non-local attention models}, 
  year={2022},
  volume={},
  number={},
  pages={1-1},
  doi={10.1109/TIM.2021.3139654}}

If you have any question, please email to me (wangzs@tyust.edu.cn).