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A Comparative Transfer-Learning Study of CNN Backbones for Partial Face Recognition on the SoF Dataset
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, robust partial face recognition (PFR) remains open.
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