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Fusion Network for Face-based Age Estimation by Wang, Haoyi; Wei, Xingjie; Sanchez, Victor; Li, Chang-Tsun is a scholarly article available to read on EtoBox.

What is Fusion Network for Face-based Age Estimation about?

Convolutional Neural Networks (CNN) have been applied to age-related research as the core framework. Although faces are composed of numerous facial attributes, most works with CNNs still consider a face as a typical object and do not pay enough attention to facial regions that carry age-specific feature for this particular task. In this paper, we propose a novel CNN architecture called Fusion Network (FusionNet) to tackle the age estimation problem. Apart from the whole face image, the FusionNet successively takes several age-specific facial patches as part of the input to emphasize the age-specific features. Through experiments, we show that the FusionNet significantly outperforms other state-of-the-art models on the MORPH II benchmark.

Author

Wang, Haoyi; Wei, Xingjie; Sanchez, Victor; Li, Chang-Tsun

Published

2018

Language

EN