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Modern facial recognition systems rely on deep neural networks.
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SUPPORTED
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9 sources for · 0 against
Is it true that modern facial recognition systems rely on deep neural networks?
Yes. Multiple peer-reviewed sources state that facial recognition systems are built on deep neural networks, including convolutional and transformer architectures, and describe deep-learning-based face recognition deployments.
Verdict: SUPPORTED · 9 sources for, 0 against · Last checked
Evidence for · 9
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Simmons, D. L. & Taylor, D. J. (2024). Enhancing Facial Recognition Systems with Deep Neural Networks. doi.org. https://doi.org/10.71465/ajainn632
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More for · 8
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Anjali, D. & Tanmay, K. (2022). Multi-feature based automatic facial expression recognition using deep convolutional neural network. zenodo.org. https://doi.org/10.11591/ijeecs.v25.i3.pp1406-1419
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E., F., S., N. V., R, S., A, S., T, U., & S, Y. (2025). Personalized Music Experience through Emotion Recognition with Deep Neural Networks. doi.org. https://doi.org/10.1109/GCAT66372.2025.11368355
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Santhakumar, D., Nagaraju, S., Sivamani, S., Prasad, B. S. N., Veeresh, V., & Nithianantharaj, V. (2024). Facial Recognition and Image Processing in Security and Surveillance Systems Using Deep Learning Algorithms and Multi-task Cascade Deep Convolutional Neural Networks. doi.org. https://doi.org/10.1109/ICACCM61117.2024.11059009
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Facial Recognition Algorithms: A Systematic Literature Review - PMC Lock. (n.d.). pmc.ncbi.nlm.nih.gov. https://doi.org/10.3390/jimaging11020058
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A Comprehensive Review on Software Architectures for Facial Emotion Recognition Using Deep Learning Techniques. (2025). doi.org. https://doi.org/10.62762/jse.2025.285106
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Filip, P., Tomáš, G., Kamil, M., & Petr, H. (2026). Shape vs. Texture: Influence of Geometric Structure and Surface Patterns on Face Recognition. doi.org. https://doi.org/10.1109/FG67764.2026.11556520
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Deep Learning-Based Face Recognition for Automated Attendance Management. (2026). doi.org. https://doi.org/10.5281/zenodo.21671850
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GO, G. (2026). Morphogenic adversarialism: reaction-diffusion patterns reveal structural vulnerabilities in deep neural networks.. doi.org. https://doi.org/10.1038/s41598-026-61040-5
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