1. X. Yin, X. Yu, K. Sohn, X. Liu, M. Chandraker, Feature transfer learning for face recognition with under-represented data, in: IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2019, Long Beach, CA, USA, June 16–20, 2019, Computer Vision Foundation/ IEEE, 2019, pp. 5704–5713. doi:10.1109/CVPR.2019.00585. URL: http://openaccess.thecvf.com/content_CVPR_2019/html/Yin_Feature_Transfer_Learning_for_Face_Recognition_With_Under-Represented_Data_CVPR_2019_paper.html.
2. A survey of deep learning techniques for autonomous driving;Grigorescu;J. Field Robotics,2020
3. Design and realization of an intelligent access control system based on voice recognition;Cui,2009
4. C. Szegedy, W. Zaremba, I. Sutskever, J. Bruna, D. Erhan, I.J. Goodfellow, R. Fergus, Intriguing properties of neural networks, in: Y. Bengio, Y. LeCun (Eds.), 2nd International Conference on Learning Representations, ICLR 2014, Banff, AB, Canada, April 14–16, 2014, Conference Track Proceedings, 2014. URL: http://arxiv.org/abs/1312.6199.
5. T.B. Brown, D. Mané, A. Roy, M. Abadi, J. Gilmer, Adversarial patch, CoRR abs/1712.09665 (2017). arXiv:1712.09665. URL: http://arxiv.org/abs/1712.09665.