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In this paper, we address the problem of face recognition with masks.
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2016
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S. Sengupta, J. Cheng, C. Castillo, V. Patel, R. Chellappa, and D. Jacobs, “Frontal to profile face verification in the wild,” in IEEE Conference on Applications of Computer Vision , February 2016
2016
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2017
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W. Liu, Y. Wen, Z. Yu, M. Li, B. Raj, and L. Song, “Sphereface: Deep hypersphere embedding for face recognition,” in 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , 2017, pp. 6738–6746
2017
Cited alongside, same era.
S. Moschoglou, A. Papaioannou, C. Sagonas, J. Deng, I. Kotsia, and S. Zafeiriou, “Agedb: the first manually collected, in-the-wild age database,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshop , vol. 2, 2017, p. 5
2017
Cited alongside, same era.
M. Jiang, X. Fan, and H. Yan, “Retinamask: A face mask detector,” 2020
2020
Later among the works it cites.
2020
Later among the works it cites.
Z. Wang, G. Wang, B. Huang, Z. Xiong, Q. Hong, H. Wu, P. Yi, K. Jiang, N. Wang, Y. Pei, H. Chen, Y. Miao, Z. Huang, and J. Liang, “Masked face recognition dataset and application,” 2020
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N. Ud Din, K. Javed, S. Bae, and J. Yi, “A novel gan-based network for unmasking of masked face,” IEEE Access , vol. 8, pp. 44 276–44 287, 2020
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Q. Cao, L. Shen, W. Xie, O. M. Parkhi, and A. Zisserman, “Vggface2: A dataset for recognising faces across pose and age,” 2018
2018
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/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , June 2019
2019
Cited alongside, same era.
D. Montero, “face_recognition_tf2,” 2019. [Online]. Available: https://github.com/dmonterom/face_recognition_TF2
2019
Cited alongside, same era.
N. Damer, J. H. Grebe, C. Chen, F. Boutros, F. Kirchbuchner, and A. Kuijper, “The effect of wearing a mask on face recognition performance: an exploratory study,” in 2020 International Conference of the Biometrics Special Interest Group (BIOSIG) , 2020, pp. 1–6
2020
Cited alongside, same era.
“Nist finds flaws in facial checks on people with covid masks,” Biometric Technology Today , vol. 2020, no. 8, p. 2, 2020
2020
Cited alongside, same era.
2020
Later among the works it cites.
M. Geng, P. Peng, Y. Huang, and Y. Tian, “Masked face recognition with generative data augmentation and domain constrained ranking,” in Proceedings of the 28th ACM International Conference on Multimedia , ser. MM ’20. New York, NY, USA: Association for Computing Machinery, 2020, p. 2246–2254
2020
Later among the works it cites.
W. Hariri, “Efficient masked face recognition method during the covid-19 pandemic,” 2020
2020
Later among the works it cites.
C. Li, S. Ge, D. Zhang, and J. Li, “Look through masks: Towards masked face recognition with de-occlusion distillation,” in Proceedings of the 28th ACM International Conference on Multimedia , ser. MM ’20. New York, NY, USA: Association for Computing Machinery, 2020, p. 3016–3024
2020
Later among the works it cites.
M. Loey, G. Manogaran, M. H. N. Taha, and N. E. M. Khalifa, “A hybrid deep transfer learning model with machine learning methods for face mask detection in the era of the covid-19 pandemic,” Measurement , vol. 167, p. 108288, 2021
2021
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