Improved Res2Net model for Person re-identification

Person re-identification has become a very popular research topic in the computer vision community owing to its numerous applications and growing importance in visual surveillance. Person re-identification remains challenging due to occlusion, illumination and significant intra-class variations across different cameras.

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Zongjing Cao, Hyo Jong Lee (2024). Dataset: Improved Res2Net model for Person re-identification. https://doi.org/10.57702/dtfw59fy

DOI retrieved: December 16, 2024

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Created December 16, 2024
Last update December 16, 2024
Author Zongjing Cao
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Hyo Jong Lee