2020
DOI: 10.12928/telkomnika.v18i4.14836
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Semi-supervised auto-encoder for facial attributes recognition

Abstract: The particularity of our faces encourages many researchers to exploit their features in different domains such as user identification, behaviour analysis, computer technology, security, and psychology. In this paper, we present a method for facial attributes analysis. The work addressed to analyse facial images and extract features in the purpose to recognize demographic attributes: age, gender, and ethnicity (AGE). In this work, we exploited the robustness of deep learning (DL) using an updating version of au… Show more

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