An Evaluation of the Performance of Convolution Neural Network and Transfer Learning on Face Gender Recognition-Reference-Cited by-同舟云学术

An Evaluation of the Performance of Convolution Neural Network and Transfer Learning on Face Gender Recognition

Published:2023 Issue: Volume: Page:63-73
ISSN:2367-3370
Container-title:Ambient Intelligence – Software and Applications – 14th International Symposium on Ambient Intelligence
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Author:

Babatunde Ronke Seyi,Babatunde Akinbowale Nathaniel,Ogundokun Roseline Oluwaseun^ORCID,Abdulahi AbdulRahman Tosho^ORCID,González-Briones Alfonso^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-43461-7_7

Reference14 articles.

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2. Atha, D.J., Jahanshahi, M.R.: Evaluation of deep learning approaches based on convolutional neural networks for corrosion detection. Struct. Health Monit. 17(5), 1110–1128 (2018)

3. Babatunde, R., Abdulsalam, S., Yusuff, S., Babatunde, A.: Gender recognition using local binary pattern and Naive Bayes classifier. J. Comput. Sci. Appl. 23(1), 65–74 (2016)

4. González-Briones, A., Villarrubia, G., De Paz, J.F., Corchado, J.M.: A multi-agent system for the classification of gender and age from images. Comput. Vis. Image Underst. 172, 98–106 (2018)

5. Greco, A., Saggese, A., Vento, M., Vigilante, V.: Gender recognition in the wild: a robustness evaluation over corrupted images. J. Ambient. Intell. Humaniz. Comput. 12, 10461–10472 (2021)

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