Fast Search of Face Recognition Model for a Mobile Device Based on Neural Architecture Comparator

Fast Search of Face Recognition Model for a Mobile Device Based on Neural Architecture Comparator

This paper addresses the face recognition task for offline mobile applications. Using AutoML techniques, a novel technological framework is proposed to develop a fast neural network-based facial feature extractor for a concrete device. First, the Once-for-All SuperNet is trained on a large facial da...

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Bibliographic Details
Main Authors: Andrey V. Savchenko, Lyudmila V. Savchenko, Ilya Makarov
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
AutoML
neural architecture search (NAS)
convolutional neural network (CNN)
face recognition
mobile device
once-for-All SuperNet
Online Access:https://ieeexplore.ieee.org/document/10168107/

Internet

https://ieeexplore.ieee.org/document/10168107/

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