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Learning cross-modal interaction for RGB-T tracking

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References

  1. Li C, Liang X, Lu Y, et al. RGB-T object tracking: benchmark and baseline. Pattern Recogn, 2019, 96: 106977

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  5. Kristan M, Matas J, Leonardis A, et al. The seventh visual object tracking VOT2019 challenge results. In: Proceedings of the IEEE International Conference on Computer Vision Workshops, 2019

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant Nos. 61972204, 62072244) and in part by Natural Science Foundation of Jiangsu Province (Grant Nos. BK20191283, BK20190019).

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Authors and Affiliations

  1. Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China

    Chunyan Xu, Zhen Cui, Chaoqun Wang, Chuanwei Zhou & Jian Yang

Authors
  1. Chunyan Xu
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  2. Zhen Cui
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  3. Chaoqun Wang
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  4. Chuanwei Zhou
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  5. Jian Yang
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Corresponding author

Correspondence to Zhen Cui.

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Appendixes A and B. The supporting information is available online at info.scichina.com and link.springer.com. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.

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Xu, C., Cui, Z., Wang, C. et al. Learning cross-modal interaction for RGB-T tracking. Sci. China Inf. Sci. 66, 119103 (2023). https://doi.org/10.1007/s11432-021-3518-y

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  • DOI: https://doi.org/10.1007/s11432-021-3518-y

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