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Richmond Ampah-MensahResearch & Software
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SSRN preprint · 2026

Vision Transformers for Face-Centric Recognition: A Systematic Review of Representation Learning, Robustness, Security, and Deployment

A systematic review of 33 journal studies examining representation learning, generalization, security, and deployment evidence for transformer-based face recognition.

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This review synthesizes 33 journal studies retrieved from Scopus and Web of Science for 2021–2026. It groups the evidence across representation learning, robustness and generalization, security and trustworthiness, and computational efficiency, while keeping non-equivalent tasks and metrics separate rather than forcing a cross-task ranking.

Richmond's roleCo-author
Authors
  • Muhammad Munsarif
  • Richmond Ampah-Mensah
Methods
Systematic reviewScopusWeb of ScienceEvidence synthesisVision transformers
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