Convolutional Neural Network Based on Deep Learning Overview and Performance Optimization Research of Facial Recognition Algorithms
Abstract
Convolutional Neural Networks (CNNs) have been widely applied to face recognition tasks and have achieved remarkable results. However, the developmental trajectory of convolutional neural networks and the criteria for determining which algorithms can more effectively ensure recognition accuracy remain insufficiently clear. Therefore, a comparative analysis of CNN-based models is conducted. The results indicate that ElasticFace performs best on long-tailed data distributions, while MobileFaceNet is the most advantageous in edge computing scenarios.
Fields of Study & Subjects
Face recognition and analysis
Advanced Neural Network Applications
Face and Expression Recognition
Publication details
- Journal / source
- Applied and Computational Engineering
- Volume
- 222
- Issue
- 1
- Pages
- 110–117
- Publication date
- 10 February 2026
- Language
- EN