Convolutional Siamese neural network for few-shot multi-view face identification

Author:

Meddad Majdouline,Moujahdi Chouaib,Mikram Mounia,Rziza Mohammed

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Signal Processing

Reference30 articles.

1. Zhu, Z., Luo, P., Wang, X., Tang, X.: Multi-view perceptron: a deep model for learning face identity and view representations. NIPS (2014)

2. Putra, A.A.R., Setumin, S.: The performance of Siamese neural network for face recognition using different activation functions. In: International Conference of Technology, Science and Administration (ICTSA), vol. 2021, pp. 1–5 (2021) https://doi.org/10.1109/ICTSA52017.2021.94065

3. Bertinetto, L., Valmadre, J., João, F., Henriques, A.V., Torr, P.H.S.: Fully-convolutional siamese networks for object tracking. In: Computer Vision ECCV 2016 Workshops Springer International Publishing (2016)

4. Rajdeep, C., Soham, R., Satyabrata, R.: A Siamese neural network-based face recognition from masked faces. In: International Conference on Advanced Network Technologies and Intelligent Computing (2022)

5. Debaditya, S., Kar, T.: FedAffect: few-shot federated learning for facial expression recognition. 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) (2021)

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