Fine-Grained Face Annotation Using Deep Multi-Task CNN

Fine-Grained Face Annotation Using Deep Multi-Task CNN

We present a multi-task learning-based convolutional neural network (MTL-CNN) able to estimate multiple tags describing face images simultaneously. In total, the model is able to estimate up to 74 different face attributes belonging to three distinct recognition tasks: age group, gender and visual a...

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Bibliographic Details
Main Authors: Luigi Celona, Simone Bianco, Raimondo Schettini
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Sensors
Subjects:
face analysis
convolutional neural networks
multi-task learning
gender recognition
age group recognition
face attributes’ estimation
Online Access:http://www.mdpi.com/1424-8220/18/8/2666

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