Is It Easy to Recognize Baby’s Age and Gender?-Reference-Cited by-同舟云学术

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Is It Easy to Recognize Baby’s Age and Gender?

Published:2021-05-31 Issue:3 Volume:36 Page:508-519
ISSN:1000-9000
Container-title:Journal of Computer Science and Technology
language:en
Short-container-title:J. Comput. Sci. Technol.

Author:

Liu Yang,He Ruili,Lv Xiaoqian,Wang Wei,Sun Xin,Zhang Shengping

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,Computer Science Applications,Hardware and Architecture,Theoretical Computer Science,Software

Link

https://link.springer.com/content/pdf/10.1007/s11390-021-1325-9.pdf

Reference34 articles.

1. Levi G, Hassner T. Age and gender classification using convolutional neural networks. In Proc. the 2015 IEEE International Conference on Computer Vision and Pattern Recognition Workshops, June 2015, pp.34-42. https://doi.org/10.1109/CVPRW.2015.7301352.

2. Das A, Dantcheva A, Bremond F. Mitigating bias in gender, age and ethnicity classification: A multi-task convolution neural network approach. In Proc. the 2018 European Conference on Computer Vision, Sept. 2018, pp.573-583. https://doi.org/10.1007/978-3-030-11009-3_35.

3. Hosseini S, Lee S H, Kwon H J, Koo H I, Cho N I. Age and gender classification using wide convolutional neural network and Gabor filter. In Proc. the 2018 International Workshop on Advanced Image Technology, Jan. 2018. https://doi.org/10.1109/IWAIT.2018.8369721.

4. Agbo-Ajala O, Viriri S. Age group and gender classification of unconstrained faces. In Proc. the 14th International Symposium on Visual Computing, Oct. 2019, pp.418-429. https://doi.org/10.1007/978-3-030-33720-9_32.

5. Eidinger E, Enbar R, Hassner T. Age and gender estimation of unfiltered faces. IEEE Transactions on Information Forensics and Security, 2014, 9(12): 2170-2179. https://doi.org/10.1109/TIFS.2014.2359646.

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