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Pyramid-resolution person restoration for cross-resolution person re-identification

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Conclusion

In this study, we present a simple yet effective pyramid-resolution person restoration method for cross-resolution person re-identification. Our method involves a pyramid resolution restoration network that enhances pyramid resolution images, and utilizes feature distance fusion to leverage valuable and complementary information from these pyramid images. Extensive experiments demonstrate the effectiveness of our method on both real-world cross-resolution datasets and simulated datasets.

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References

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Acknowledgements

This work was supported in part by National Natural Science Foundation of China (Grant Nos. 62276198, U22A2035, U22A2096, 62306227), Key Research and Development Program of Shaanxi (Grant No. 2023-YBGY-231), Young Elite Scientists Sponsorship Program by CAST (Grant No. 2022QNRC001), Guangxi Natural Science Foundation Program (Grant No. 2021GXNSFDA075011), Natural Science Basic Research Plan in Shaanxi Province of China (Grant No. 2022JQ-696), Xi’an Science and Technology Plan Project (Grant No. 23GJSY0004), Open Research Project of Key Laboratory of Artificial Intelligence Ministry of Education (Grant No. AI202401), and Fundamental Research Funds for the Central Universities (Grant Nos. QTZX23083, QTZX23042, ZYTS24142).

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Authors and Affiliations

  1. State Key Laboratory of Integrated Services Networks, Xidian University, Xi’an, 710071, China

    Chunlei Peng, Bo Wang, Decheng Liu & Nannan Wang

  2. School of Cyber Engineering, Xidian University, Xi’an, 710071, China

    Chunlei Peng, Bo Wang & Decheng Liu

  3. School of Telecommunications Engineering, Xidian University, Xi’an, 710071, China

    Nannan Wang

  4. Chongqing Key Laboratory of Image Cognition, Chongqing University of Posts and Telecommunications, Chongqing, 400065, China

    Xinbo Gao

Authors
  1. Chunlei Peng
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  2. Bo Wang
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  3. Decheng Liu
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  4. Nannan Wang
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  5. Xinbo Gao
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Corresponding author

Correspondence to Nannan Wang.

Additional information

Supporting information Appendixes A–C. 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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Peng, C., Wang, B., Liu, D. et al. Pyramid-resolution person restoration for cross-resolution person re-identification. Sci. China Inf. Sci. 67, 169101 (2024). https://doi.org/10.1007/s11432-023-4023-y

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  • DOI: https://doi.org/10.1007/s11432-023-4023-y

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