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A Comparative Transfer-Learning Study of CNN Backbones for Partial Face Recognition on the SoF Dataset

arXiv:2609.31677v1 Announce Type: new Abstract: Face recognition is widely deployed in surveillance, access control, and forensic workflows, yet accuracy degrades sharply once the face is occluded by accessories, foreground objects, or the frame edge. Because most faces in the wild are partial, rob…

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  1. 2026-09-29 04:00 · arXiv cs.CV
    A Comparative Transfer-Learning Study of CNN Backbones for Partial Face Recognition on the SoF Dataset

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