Age Estimation and Gender Recognition Based on Canny-MobileNetV2
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-2730-2_37
Reference8 articles.
1. Zhai, H., Liu, C., Dong, H., Ji, Y., Guo, Y., Gong, S.: Face verification across aging based on deep convolutional networks and local binary patterns. In: He, X., et al. (eds.) Intelligence Science and Big Data Engineering. Image and Video Data Engineering. IScIDE 2015. Lecture Notes in Computer Science(), vol. 9242. Springer, Cham. https://doi.org/10.1007/978-3-319-23989-7_35
2. Agustsson, E., Timofte, R., Escalera, S., et al.: Apparent and real age estimation in still images with deep residual regressors on Appa-real database. In: Proceedings of the 2017 12th IEEE International Conference on Automatic Face & Gesture Recognition (2017)
3. Rondeau, J., Alvarez, M.: Deep modeling of human age guesses for apparent age estimation. In: Proceedings of the 2018 International Joint Conference on Neural Networks (2018)
4. Duan, M., Li, K., Lia, K.: An ensemble CNN2ELM for age estimation. IEEE Trans. Inf. Forensics Secur. (99) (2017)
5. The, E.W., Taylor, G.: Apparent age estimation with relational networks. In: Proceedings of the 2019 16th Conference on Computer and Robot Vision-CRV2019, (2019)
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