RAMENet: Exploring a Lightweight and Efficient Network for Salient Object Detection in ORSI

October 10, 2025 ยท View on GitHub

Requirements

  • python 3.8
  • pytorch 1.3.1
  • Numpy 1.25.1
  • torchvision

EORSSD Trained model weights

  • Download the following trained model weights RAMENet(Code:1234) and put them in ./cpts.

ORSSD Trained model weights

  • Download the following trained model weights RAMENet(Code:1234) and put them in ./cpts.

EORSSD Saliency maps

  • You can download the tested results map at Baidu Pan link RAMENet(Code:1234)

ORSSD Saliency maps

  • You can download the tested results map at Baidu Pan link RAMENet(Code:1234)

Citation

@ARTICLE{11062350,
  author={Han, Jinyu and Sun, Fuming and Hou, Yaoyao and Sun, Jing and Li, Haojie},
  journal={IEEE Transactions on Geoscience and Remote Sensing}, 
  title={Exploring a Lightweight and Efficient Network for Salient Object Detection in ORSI}, 
  year={2025},
  volume={63},
  number={},
  pages={1-14},
  doi={10.1109/TGRS.2025.3584963}
}

Feel free to send e-mails to me (1292724376@qq.com).