DAFNet_TIP21

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.

The useage of the DAFNet_code:

• 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).

The proposed Dataset:

• EORSSD dataset: https://github.com/rmcong/EORSSD-dataset
• ORSSD dataset: https://pan.baidu.com/s/1k44UlTLCW17AS0VhPyP7JA

Results:

• 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)

If you use our EORSSD dataset or the DAFNet_code, please cite our paper:

@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}
}

Contact Us:

If you have any questions, please contact Runmin Cong at rmcong@bjtu.edu.cn.