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).