Abstract: This study addresses the challenges of high latency, missed detections in high-coverage and multi-target face scenarios, and inefficiencies in traditional face recognition algorithms under ...

Studies by the National Institute of Standards and Technology (NIST) show that many commercial facial recognition algorithms have significantly higher error rates for ...

Abstract: Over the past five decades, automated face recognition (FR) has progressed from handcrafted geometric and statistical approaches to advanced deep learning architectures that now approach, ...