Multi-granularity enhanced feature learning for visible-infrared person re-identification

Visible-infrared person re-identification aims to achieve mutual retrieval of pedestrian images captured by nonoverlapping RGB and IR cameras. Due to factors such as occlusion, changes in perspective, and modal differences, it is difficult for the model to extract the modal-invariant features of the...

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Veröffentlicht in:	The Journal of supercomputing 2025, Vol.81 (1)
Hauptverfasser:	Liu, Huilin, Wu, Yuhao, Tang, Zihan, Li, Xiaolong, Su, Shuzhi, Liang, Xingzhu, Zhang, Pengfei
Format:	Artikel
Sprache:	eng
Schlagworte:	Compilers Computer Science Embedding Image contrast Image enhancement Infrared cameras Infrared imagery Interpreters Occlusion Processor Architectures Programming Languages Semantics
Online-Zugang:	Volltext
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