Cross-Spectral Attention for Unsupervised RGB-IR Face Verification and Person Re-Identification

Cross-spectral biometrics, such as matching imagery of faces or persons from visible (RGB) and thermal infrared (IR) bands, have rapidly advanced over the last decade because of the increasing sensitivity, size, quality, and ubiquity of IR focal plane arrays and enhanced analytics beyond the visible...

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Autors principals:	Kshitij Nikhal, Cedric Nimpa Fondje, Benjamin S. Riggan
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2025-01-01
Col·lecció:	IEEE Access
Matèries:	Person re-identification clustering unsupervised learning deep learning attention model domain adaptation
Accés en línia:	https://ieeexplore.ieee.org/document/11134438/
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