Awesome

RBO

The official implementation of the CVPR 2022 paper Ranking-Based Siamese Visual Tracking

Introduction

this paper proposes a ranking-based optimization algorithm to explore the relationship among different proposals for Siamese trackers.

Environment

Tracking Results

The raw results of RBO can be found here.

Clone the GIT repository.

git clone https://github.com/sansanfree/RBO.git

Evaluation on the SiamRPN++-RBO

Please refer to the README

Evaluation on the SiamPW-RBO

Please refer to the README

Evaluation on the SiamBAN-RBO

coming soon

Citation

If you find this work useful for your research, please consider citing our work:

@inproceedings{Tang_2022_Ranking,
    title={Ranking-Based Siamese Visual Tracking},
    author={Feng, Tang and Qiang Ling},
    booktitle={The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    year={2022}
}

Contact

If you have any questions, please feel free to contact tang0420@mail.ustc.edu.cn

Acknowledgments

Thanks for the SiamRPN++(https://github.com/STVIR/pysot) and SiamBAN(https://github.com/hqucv/siamban) Libraries, which helps us to quickly implement our ideas.