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12 November 2024 Research on improved MobileFaceNet facial recognition algorithm
Guangtai Zhang, Shuliang Zhang, Xin He
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Proceedings Volume 13395, International Conference on Optics, Electronics, and Communication Engineering (OECE 2024) ; 133951Y (2024) https://doi.org/10.1117/12.3048257
Event: International Conference on Optics, Electronics, and Communication Engineering, 2024, Wuhan, China
Abstract
In this article, a lightweight face recognition algorithm is constructed, which is based on the improved MobileFaceNet. To improve recognition accuracy and meet real-time requirements under the premise of ensuring a lightweight model, the inverse residual network of the ECA-Net network and H-swish activation function is designed. ECA-Net network enhances network cross-channel learning ability to improve algorithm accuracy and replaces ECA-Net network activation function with H-swish to enhance model device applicability.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Guangtai Zhang, Shuliang Zhang, and Xin He "Research on improved MobileFaceNet facial recognition algorithm", Proc. SPIE 13395, International Conference on Optics, Electronics, and Communication Engineering (OECE 2024) , 133951Y (12 November 2024); https://doi.org/10.1117/12.3048257
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KEYWORDS
Facial recognition systems
Detection and tracking algorithms
Education and training
Data modeling
Performance modeling
Convolution
Mathematical optimization
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