gicd
Gradient-Induced Co-Saliency Detection
Zhao Zhang*, Wenda Jin*, Jun Xu, Ming-Ming Cheng
Prerequisites
Environments
- PyTorch >= 1.0
- tqdm
Pretrained model
Download gicd_ginet.pth (Baidu (05cl)/Google Drive).
Usage
- Configure the input root and the output root in
test.sh
--param_path ./gicd_ginet.pth (pretrained model path)
--input_root your_data_root (categorize by subfolders)
--save_root your_output_root
- Run by
sh test.sh
Prediction results
The co-saliency maps of GICD can be found at our project home.
Citation
If you find this work is useful for your research, please cite our paper:
@inproceedings{zhang2020gicd,
title={Gradient-Induced Co-Saliency Detection},
author={Zhang, Zhao and Jin, Wenda and Xu, Jun and Cheng, Ming-Ming},
booktitle={European Conference on Computer Vision (ECCV)},
year={2020}
}
Contact
If you have any questions, feel free to contact me via zzhang?mail?nankai?edu?cn
