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HiBo-UA Dataset

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DCBF Code

This code is mainly based on our previous project (DCF, CVPR21).

Stage 1: Run python demo_train_pre.py, which performs the Depth Calibration Strategy.

Stage 2: Run python demo_train.py, which performs the Fusion Strategy.

> Evaluation/Training Setup

Acknowledgement

We thank all reviewers for their valuable suggestions. At the same time, thanks to the large number of researchers contributing to the development of open source in this field, particularly, Deng-ping Fan, Runmin Cong, Tao Zhou, etc.

Our feature extraction network is based on CPD backbone.

Bibtex

@article{Li_2022_DCBF,
    author    = {Li, Jingjing and Ji, Wei and Zhang, Miao and Piao, Yongri and Lu, Huchuan and Cheng, Li},
    title     = {Delving into Calibrated Depth for Accurate RGB-D Salient Object Detection},
    journal = {International Journal of Computer Vision},
    doi = {10.1007/s11263-022-01734-1},
    year      = {2022},
}

Contact Us

If you have any questions, please contact us ( wji3@ualberta.ca ).