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

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

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 inc...

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Bibliographic Details
Main Authors: Ke Zhang, Ce Gao, Liru Guo, Miao Sun, Xingfang Yuan, Tony X. Han, Zhenbing Zhao, Baogang Li
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Age and gender estimation
Adience
RoR
weighted loss
pre-training
ImageNet
Online Access:https://ieeexplore.ieee.org/document/8063887/

Internet

https://ieeexplore.ieee.org/document/8063887/

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