XAI-FR: Explainable AI-Based Face Recognition Using Deep Neural Networks
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-022-10127-z.pdf
Reference44 articles.
1. Dodson, C., Soldera, J., & Scharcanski, J. (2021). Some information geometric aspects of cyber security by face recognition. Entropy, 23(7), 878.
2. Juneja, K., & Rana, C. (2021). An extensive study on traditional-to-recent transformation on face recognition system. Wireless Personal Communications, 118(4), 3075–3128.
3. Loey, M., Manogaran, G., Taha, M. H. N., & Khalifa, N. E. M. (2021). A hybrid deep transfer learning model with machine learning methods for face mask detection in the era of the COVID-19 pandemic. Measurement, 167, 108288.
4. Petpairote, C., Madarasmi, S., & Chamnongthai, K. (2021). 2d pose-invariant face recognition using single frontal-view face database. Wireless Personal Communications, 118(3), 2015–2031.
5. Zou, X., Kittler, J. & Messer, K. (2007). “Illumination invariant face recognition: A survey.” In 2007 first IEEE international conference on biometrics: theory, applications, and systems, pp. 1–8, IEEE.
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