AI RESEARCH
Lightweight Cross-Spectral Face Recognition via Contrastive Alignment and Distillation
arXiv CS.CV
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ArXi:2605.04769v1 Announce Type: new Heterogeneous Face Recognition (HFR) aims at matching face images captured across different sensing modalities, such as thermal-to-visible or near-infrared-to-visible, enhancing the usability of face recognition systems in challenging real-world conditions. Although recent HFR methods have achieved significant improvements in performance, many rely on computationally expensive models, making them impractical for deployment on resource-limited edge devices. In this work, we.