'Fully Squeezed Multi-Scale Inference Network for Fast and Accurate Saliency Detection in Optical Remote Sensing Images', Kunye Shen, Xiaofei Zhou, Bin Wan, Ran Shi, Jiyong Zhang.
Python 3.7
numpy 1.18.1
scikit-image 0.17.2
PyTorch 1.4.0
torchvision 0.5.0
glob
The SSIM loss is adapted from pytorch-ssim.
- Clone this repo
https://github.com/Kunye-Shen/FSMINet.git
- We provide the predicted saliency maps (GoogleDrive or baidu extraction code: 12so.). You can download directly through the above methods, or contact us through the following email.
KunyeShen@outlook.com
@article{shen2022fully,
title={Fully Squeezed Multi-Scale Inference Network for Fast and Accurate Saliency Detection in Optical Remote Sensing Images},
author={Shen, Kunye and Zhou, Xiaofei and Wan, Bin and Shi, Ran and Zhang, Jiyong},
journal={IEEE Geoscience and Remote Sensing Letters},
year={2022},
publisher={IEEE}
}