GLCN: Graph-Aware Locality-Enhanced Cross-Modality Re-ID Network
Cross-modality person re-identification faces challenges such as illumination discrepancies, local occlusions, and inconsistent modality structures, leading to misalignment and sensitivity issues. We propose GLCN, a framework that addresses these problems by enhancing representation learning through...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI AG
2026-01-01
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| Serie: | Journal of Imaging |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/2313-433X/12/1/42 |
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