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Research Article
Using Convolutional Neural Network for detecting Age and Gender by analyzing face patterns
Atharva Pardeshi1
Atharva Dhalgade2
Fardeen Sayyed3
Anuradha Panavkar4
1234 Department of Information Technology, MIT ADT University, Pune, Maharashtra, India.
Published Online: July-August 2022
Pages: 15-18
Cite this article
No DOIReferences
[1]. Age and Gender Detection in the I-DASH Project HUGO MEINEDO, L2F - Spoken Language Systems Lab, INESC-ID ISABEL TRANCOSO, L2F -Spoken Language Systems Lab, INESC-ID and Instituto Superior Tecnico.
[2]. Estimation of gender and age using CNN-based face recognition algorithm, Sooyeon Lim, School of Game, Dongyang University, Korea [email protected].
[3]. R. Rothe, R. Timofte, and L. Van Gool, “Deep expectation of real and apparent age from a single image without facial landmarks,” International Journal of Computer Vision, vol. 126, no. 2–4, pp. 144–157, 2018.
[4]. B. Bin Gao, H. Y. Zhou, J. Wu, and X. Geng, “Age estimation using expectation of label distribution learning,” in Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, pp. 712–718, Stockholm, Sweden, July 2018.
[5]. G. Antipov, M. Baccouche, S. A. Berrani, and J. L. Dugelay, “Effective training of convolutional neural networks for facebased gender and age prediction,” Pattern Recognition, vol. 72, pp. 15–26, 2017.
[6]. V. Carletti, A. S. Greco, G. Percannella, M. Vento, and I. Fellow, “Age from faces in the deep learning revolution,” IEEE Transactions on Pattern Analysis and Machine Intelligence, p. 1, 2019.
[7]. H. Han and A. K. Jain, “Age, gender and race estimation from unconstrained face images,” MSU Technical Report, MSUCSE-14-5, Michigan State University, East Lansing, MI, USA, 2014.
[8]. R. C. Malli, M. Aygun, and H. K. Ekenel, “Apparent age estimation using ensemble of deep learning models,” in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp. 714–721, Las Vegas, NV, USA, June 2016.
[2]. Estimation of gender and age using CNN-based face recognition algorithm, Sooyeon Lim, School of Game, Dongyang University, Korea [email protected].
[3]. R. Rothe, R. Timofte, and L. Van Gool, “Deep expectation of real and apparent age from a single image without facial landmarks,” International Journal of Computer Vision, vol. 126, no. 2–4, pp. 144–157, 2018.
[4]. B. Bin Gao, H. Y. Zhou, J. Wu, and X. Geng, “Age estimation using expectation of label distribution learning,” in Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, pp. 712–718, Stockholm, Sweden, July 2018.
[5]. G. Antipov, M. Baccouche, S. A. Berrani, and J. L. Dugelay, “Effective training of convolutional neural networks for facebased gender and age prediction,” Pattern Recognition, vol. 72, pp. 15–26, 2017.
[6]. V. Carletti, A. S. Greco, G. Percannella, M. Vento, and I. Fellow, “Age from faces in the deep learning revolution,” IEEE Transactions on Pattern Analysis and Machine Intelligence, p. 1, 2019.
[7]. H. Han and A. K. Jain, “Age, gender and race estimation from unconstrained face images,” MSU Technical Report, MSUCSE-14-5, Michigan State University, East Lansing, MI, USA, 2014.
[8]. R. C. Malli, M. Aygun, and H. K. Ekenel, “Apparent age estimation using ensemble of deep learning models,” in Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, pp. 714–721, Las Vegas, NV, USA, June 2016.
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