Code and result repository for our paper:
Qijian Zhang, Runmin Cong, Chongyi Li, Ming-Ming Cheng, Yuming Fang, Xiaochun Cao, Yao Zhao, and Sam Kwong, Dense attention fluid network for salient object detection in optical remote sensing images, IEEE Transactions on Image Processing, vol. 30, pp. 1305-1317, 2021.
- Code can be download from BaiduYun:https://pan.baidu.com/s/1chkqzKGfiVBonFE8_2bEuA (code: MVPL)
- The training and testing pipeline is organized in run.ipynb (Jupyter Notebook).
- EORSSD dataset: https://github.com/rmcong/EORSSD-dataset
- ORSSD dataset: https://pan.baidu.com/s/1k44UlTLCW17AS0VhPyP7JA
- Our results can be found in the file of ./DAFNet_result.zip
- The results of the comparison methods in our paper can be download from BaiduYun: https://pan.baidu.com/s/1R9fSkqoR2uJficHDxhIs4A (code: MVPL)
@article{DAFNet,
title={Dense attention fluid network for salient object detection in optical remote sensing images},
author={Zhang, Qijian and Cong, Runmin and Li, Chongyi and Cheng, Ming-Ming and Fang, Yuming and Cao, Xiaochun and Zhao, Yao and Kwong, Sam},
journal={IEEE Transactions on Image Processing},
volume={30},
pages={1305-1317},
year={2021},
publisher={IEEE}
}
If you have any questions, please contact Runmin Cong at rmcong@bjtu.edu.cn.