mlsanityData to 14 Oct 2026

Real-Time Face Recognition System

arXiv 2204.08978 ↗First posted 19 Apr 2022cs.CVcited by 0

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Abstract (arXiv)

Over the past few decades, interest in algorithms for face recognition has been growing rapidly and has even surpassed human-level performance. Despite their accomplishments, their practical integration with a real-time performance-hungry system is not feasible due to high computational costs. So in this paper, we explore the recent, fast, and accurate face recognition system that can be easily integrated with real-time devices, and tested the algorithms on robot hardware platforms to confirm their robustness and speed.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 3 of its 4 references that are in the map. First posted on arXiv 19 Apr 2022.

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3 of 4 references.

References · 3

  1. 2018Deep Face Recognition: A Surveycited by 276
  2. 2018MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devicescited by 182
  3. 2021YOLO5Face: Why Reinventing a Face Detectorcited by 44

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