{
  "id": 13874,
  "url": "https://www.frontiersin.org/articles/10.3389/frai.2026.1816796",
  "title": "Hybrid CNN with angular margin supervision for robust face identification and verification",
  "summary": "Face recognition systems are widely used in surveillance, biometric authentication, access control, and digital identity verification; however, supervision sensitivity, evaluation stability, and performance consistency across datasets remain insufficiently understood. This study investigates the behavior of convolutional, transformer-based, and hybrid face recognition architectures under both Softmax and ArcFace supervision using five-fold subject-disjoint cross-validation on the Labeled Faces i",
  "authors": "Andisani Nemavhola",
  "category": "research",
  "topics": "privacy-surveillance,finance-investment",
  "orgs": null,
  "regions": null,
  "published_at": "2026-07-27T00:00:00.000Z",
  "fetched_at": "2026-07-28T05:10:12.325Z",
  "source_slug": "x-frontiers-in-artificial-intelligence",
  "source_name": "Frontiers in Artificial Intelligence",
  "source_homepage": "https://www.frontiersin.org/journals/artificial-intelligence",
  "ethics_ai_record_url": "https://ethics.ai/record/13874",
  "original_url": "https://www.frontiersin.org/articles/10.3389/frai.2026.1816796",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}