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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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Main Authors: Kshitij Nikhal, Cedric Nimpa Fondje, Benjamin S. Riggan
Format: Artigo
Language:Inglês
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Person re-identification
clustering
unsupervised learning
deep learning
attention model
domain adaptation
Online Access:https://ieeexplore.ieee.org/document/11134438/
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