Neural Networks in Video-Based Age and Gender Recognition on Mobile Platforms

2018 ◽  
Vol 27 (4) ◽  
pp. 246-259 ◽  
Author(s):  
A. S. Kharchevnikova ◽  
A. V. Savchenko
Author(s):  
Héctor A. Sánchez-Hevia ◽  
Roberto Gil-Pita ◽  
Manuel Utrilla-Manso ◽  
Manuel Rosa-Zurera

Author(s):  
Sai Teja Challa ◽  
◽  
Sowjanya Jindam ◽  
Ruchitha Reddy Reddy ◽  
Kalathila Uthej ◽  
...  

Automatic age and gender prediction from face images has lately attracted much attention due to its wide range of applications in numerous facial analyses. We show in this study that utilizing the Caffe Model Architecture of Deep Learning Frame Work; we were able to greatly enhance age and gender recognition by learning representations using deep-convolutional neural networks (CNN). We propose a much simpler convolutional net architecture that can be employed even if no learning data is available. In a recent study presenting a potential benchmark for age and gender estimation, we show that our strategy greatly outperforms existing state-of-the-art methods.


NeuroImage ◽  
2013 ◽  
Vol 83 ◽  
pp. 690-703 ◽  
Author(s):  
Katya Rubia ◽  
Lena Lim ◽  
Christine Ecker ◽  
Rozmin Halari ◽  
Vincent Giampietro ◽  
...  

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