Age Group and Gender Estimation in the Wild with Deep RoR Architecture

9 Oct 2017Ke ZhangCe GaoLiru GuoMiao SunXingfang YuanTony X. HanZhenbing ZhaoBaogang Li

Automatically predicting age group and gender from face images acquired in unconstrained conditions is an important and challenging task in many real-world applications. Nevertheless, the conventional methods with manually-designed features on in-the-wild benchmarks are unsatisfactory because of incompetency to tackle large variations in unconstrained images... (read more)

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