This project provides the code and results for 'IPDiff: Diffusion-driven ORSI Salient Object Detection with Information Reconstruction and Multi-Prior Guidance', IJCV, 2026. IJCV | pdf | arxiv (Code is coming soon)

Network Architecture

Requirements

python 3.10 + pytorch 2.4.0

Saliency maps

We provide saliency maps of our IPDiff (code: IPDI) on three datasets.

We also provide saliency maps of all compared methods (code: IPDI) on three datasets.

Training

We use data_aug.m for data augmentation.

Code is coming soon!!!

Pre-trained model and testing

Code is coming soon!!!

Evaluation Tool

You can use the evaluation tool (MATLAB version) to evaluate the above saliency maps.

ORSI-SOD_Summary

Citation

    @ARTICLE{Li_2026_IPDiff,
            author = {Gongyang Li and Zhen Bai and Runmin Cong and Dan Zeng and Weisi Lin and Xiao-Ping Zhang},
            title = {{IPDiff}: Diffusion-driven ORSI Salient Object Detection with Information Reconstruction and Multi-Prior Guidance},
            journal = {International Journal of Computer Vision},
            volume= {134},
            article number = {341},
            year = {2026},
            doi = {10.1007/s11263-026-02931-y},
            }
            
            

If you encounter any problems with the code, want to report bugs, etc.

Please contact me at lllmiemie@163.com or ligongyang@shu.edu.cn.