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Journal of Shanghai University >

2021 , Vol. 27 >Issue 1: 28 - 38

DOI: https://doi.org/10.12066/j.issn.1007-2861.2250

Digital Film and Television Technology

Method for improving age estimation using age editing

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  • 1. Shanghai Film Academy, Shanghai University, Shanghai 200072, China
    2. Shanghai Institute for Advanced Communication and Data Science, Shanghai University, Shanghai 200444, China
    3. Shanghai Film Special Effects Engineering Technology Research Center, Shanghai University, Shanghai 200072, China

Received date: 2020-03-23

  Online published: 2020-09-10

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Abstract

As an emerging biometric identification technology, face age estimation is a classic learning problem in computer vision. Based on the powerful data generation ability of a generative adversarial network (GAN), a method to improve age estimation by using age editing is proposed. The training data suitable for age estimation were amplified by combining the training age editing network-StarGAN and the age estimation network-soft stagewise regression network (SSR-Net), in stages. Experimental results show that the method achieves the better age estimation results under unrestricted conditions.

Key words： age editing; age estimation; generative adversarial network (GAN); data amplification

Cite this article

ZHANG Chenyu, XU Shugong, HUANG Jianbo . Method for improving age estimation using age editing[J]. Journal of Shanghai University, 2021 , 27(1) : 28 -38 . DOI: 10.12066/j.issn.1007-2861.2250

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