Can I read DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural Network on EtoBox?

DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural Network by Dehghan, Afshin; Ortiz, Enrique G.; Shu, Guang; Masood, Syed Zain is a scholarly article available to read on EtoBox.

What is DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural Network about?

This paper describes the details of Sighthound's fully automated age, gender and emotion recognition system. The backbone of our system consists of several deep convolutional neural networks that are not only computationally inexpensive, but also provide state-of-the-art results on several competitive benchmarks. To power our novel deep networks, we collected large labeled datasets through a semi-supervised pipeline to reduce the annotation effort/time. We tested our system on several public benchmarks and report outstanding results. Our age, gender and emotion recognition models are available to developers through the Sighthound Cloud API at https://www.sighthound.com/products/cloud

Author

Dehghan, Afshin; Ortiz, Enrique G.; Shu, Guang; Masood, Syed Zain

Published

2017

Language

EN