Face to Face with Efficiency: Real-Time Face Recognition Pipelines on Embedded Devices
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-48348-6_11
Reference23 articles.
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3. Deng, J., Guo, J., Ververas, E., Kotsia, I., Zafeiriou, S.: RetinaFace: single-shot multi-level face localisation in the wild. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5202–5211 (2020). https://doi.org/10.1109/CVPR42600.2020.00525
4. Deng, J., Guo, J., Xue, N., Zafeiriou, S.: ArcFace: additive angular margin loss for deep face recognition. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 4685–4694 (2019). https://doi.org/10.1109/CVPR.2019.00482
5. Department of Defense: Human engineering design data digest (2000). https://apps.dtic.mil/sti/pdfs/ADA467401.pdf. Accessed 3 Apr 2023
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