1 |
Anwar, A. and Raychowdhury, A. Masked face recognition for secure authentication. arXiv preprint
arXiv:2008.11104 , 2020.
|
|
2 |
Chawla, N. V., Bowyer, K. W., Hall, L. O., and Kegelmeyer, W. P. Smote: synthetic minority over-sampling
technique. Journal of artificial intelligence research vol. 16, pp. 321–357, 2002.
|
|
3 |
Hariri, W. Efficient masked face recognition method during the covid-19 pandemic. Signal, image and video process-
ing 16 (3): 605–612, 2022.
|
|
4 |
Ngan, M. L., Grother, P. J., and Hanaoka, K. K. Ongoing face recognition vendor test (frvt) part 6a: Face recognition accuracy with masks using pre-covid-19 algorithms, 2020.
|
|
5 |
Noe, I. T. Redes neurais convolucionais aplicadas ao reconhecimento facial em indivíduos com máscara.
https://github.com/ItaloTN10/TCC2, 2021.
|
|
6 |
Pan, S. J. and Yang, Q. A survey on transfer learning. IEEE Transactions on Knowledge and Data Engineering 22 (10): 1345–1359, 2010.
|
|
7 |
Simonyan, K. and Zisserman, A. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv , 2014.
|
|
8 |
Vincent Chi-Chung Cheng, e. a. The role of community-wide wearing of face mask for control of coronavirus disease 2019 (covid-19) epidemic due to sars-cov-2. Journal of Infection vol. 81.1, pp. 107–114, 2020.
|
|
9 |
Wang, Z., Huang, B., Wang, G., Yi, P., and Jiang, K. Masked face recognition dataset and application. IEEE Transactions on Biometrics, Behavior, and Identity Science, 2020
|
|