Efficient facial representations for age, gender and identity recognition in organizing photo albums using multi-output ConvNet
This paper is focused on the automatic extraction of persons and their attributes (gender, year of born) from album of photos and videos. A two-stage approach is proposed in which, firstly, the convolutional neural network simultaneously predicts age/gender from all photos and additionally extracts...
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| Format: | Article |
| Language: | English |
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PeerJ Inc.
2019-06-01
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| Series: | PeerJ Computer Science |
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| Online Access: | https://peerj.com/articles/cs-197.pdf |