Rethinking the U-shape Structure for Salient Object Detection

This is a PyTorch implementation of our TIP 2021 paper.

Prerequisites

• Pytorch 0.4.1+
• torchvision

Usage

1. Clone the repository

git clone https://github.com/zal0302/CII.git
cd CII/

2. Download the datasets

Download the following datasets for testing and unzip them into data folder.

3. Download the pre-trained models for CII and backbone

Download the following pre-trained model for CII into saved/models folder.

Download the following pre-trained model for backbone into pretrained folder.

4. Test

For all datasets testing used in our paper

python test.py -r saved/models/cii.pth

All results saliency maps will be stored under saved/results folders in .png formats.

5. Pre-computed results and evaluation results

You may refer to this repo for results evaluation: SalMetric.

We provide the pre-computed saliency maps and evaluation results.

6. Contact

If you have any questions, feel free to contact me via: liuzhiang(at)mail.nankai.edu.cn.

If you think this work is helpful, please cite

@article{liu2021rethinking,
  title={Rethinking the U-Shape Structure for Salient Object Detection},
  author={Liu, Jiang-Jiang and Liu, Zhi-Ang and Peng, Pai and Cheng, Ming-Ming},
  journal={IEEE Transactions on Image Processing},
  volume={30},
  pages={9030--9042},
  year={2021},
  publisher={IEEE}
}