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Improving Accuracy of Face Recognition in the Era of Mask-Wearing: An Evaluation of a Pareto-Optimized FaceNet Model with Data Preprocessing Techniques

The paper presents an evaluation of a Pareto-optimized FaceNet model with data preprocessing techniques to improve the accuracy of face recognition in the era of mask-wearing. The COVID-19 pandemic has led to an increase in mask-wearing, which poses a challenge for face recognition systems. The prop...

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Principais autores: Damilola Akingbesote, Ying Zhan, Rytis Maskeliūnas, Robertas Damaševičius
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2023-06-01
Serier:Algorithms
Fag:
Pareto optimization
face recognition
mask-wearing
methods for segmentation of faces
synthetic datasets
FaceNet
Online adgang:https://www.mdpi.com/1999-4893/16/6/292
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