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With the recent world-wide COVID-19 pandemic, using face masks have become an important part of our lives.
G. B. Huang, M. Mattar, T. Berg, and E. Learned-Miller, “Labeled faces in the wild: A database forstudying face recognition in unconstrained environments,” 2008
2008
Earlier work this paper cites.
K. Q. Weinberger and L. K. Saul, “Distance metric learning for large margin nearest neighbor classification.” Journal of Machine Learning Research , vol. 10, no. 2, 2009
2009
Earlier work this paper cites.
2014
Earlier work this paper cites.
G. B. Huang and E. Learned-Miller, “Labeled faces in the wild: Updates and new reporting procedures,” Dept. Comput. Sci., Univ. Massachusetts Amherst, Amherst, MA, USA, Tech. Rep , pp. 14–003, 2014
2014
Earlier work this paper cites.
Z. Liu, P. Luo, X. Wang, and X. Tang, “Deep learning face attributes in the wild,” in Proceedings of International Conference on Computer Vision (ICCV) , December 2015
2015
Earlier work this paper cites.
F. Schroff, D. Kalenichenko, and J. Philbin, “Facenet: A unified embedding for face recognition and clustering,” in Proceedings of the IEEE conference on computer vision and pattern recognition , 2015, pp. 815–823
2015
Earlier work this paper cites.
W. Liu, Y. Wen, Z. Yu, and M. Yang, “Large-margin softmax loss for convolutional neural networks.” in ICML , vol. 2, no. 3, 2016, p. 7
2016
Cited alongside, same era.
K. Zhang, Z. Zhang, Z. Li, and Y. Qiao, “Joint face detection and alignment using multitask cascaded convolutional networks,” IEEE Signal Processing Letters , vol. 23, no. 10, pp. 1499–1503, 2016
2016
Cited alongside, same era.
W. Liu, Y. Wen, Z. Yu, M. Li, B. Raj, and L. Song, “Sphereface: Deep hypersphere embedding for face recognition,” in Proceedings of the IEEE conference on computer vision and pattern recognition , 2017, pp. 212–220
2017
Cited alongside, same era.
A. Tuan Tran, T. Hassner, I. Masi, and G. Medioni, “Regressing robust and discriminative 3d morphable models with a very deep neural network,” in Proceedings of the IEEE conference on computer vision and pattern recognition , 2017, pp. 5163–5172
2017
Cited alongside, same era.
J. Deng, J. Guo, N. Xue, and S. Zafeiriou, “Arcface: Additive angular margin loss for deep face recognition,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition , 2019, pp. 4690–4699
2019
Later among the works it cites.
B. Liu, W. Deng, Y. Zhong, M. Wang, J. Hu, X. Tao, and Y. Huang, “Fair loss: margin-aware reinforcement learning for deep face recognition,” in Proceedings of the IEEE international conference on computer vision , 2019, pp. 10 052–10 061
2019
Later among the works it cites.
C. I. Paules, H. D. Marston, and A. S. Fauci, “Coronavirus infections—more than just the common cold,” Jama , vol. 323, no. 8, pp. 707–708, 2020
2020
Closest in time.
“How to protect yourself & others from coronavirus disease,” https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/prevention.html , 2020
2020
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C. Szegedy, S. Ioffe, V. Vanhoucke, and A. A. Alemi, “Inception-v4, inception-resnet and the impact of residual connections on learning,” in Thirty-first AAAI conference on artificial intelligence , 2017
2017
Cited alongside, same era.
Q. Cao, L. Shen, W. Xie, O. M. Parkhi, and A. Zisserman, “Vggface2: A dataset for recognising faces across pose and age,” in International Conference on Automatic Face and Gesture Recognition , 2018
2018
Cited alongside, same era.
“ http://dlib.net/ .”
Cited in the paper.
2020
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