Local Deep Neural Networks for gender recognition
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- 作者：Jordi Mansaneta ; Alberto Albiol ; a ; alalbiol@iteam.upv.es" class="auth_mail" title="E-mail the corresponding author ; Roberto Paredesb
- 关键词：Gender recognition ; Face analysis ; Deep learning ; Local Deep Neural Network
- 刊名：Pattern Recognition Letters
- 出版年：2016
- 出版时间：15 January 2016
- 年：2016
- 卷：70
- 期：Complete
- 页码：80-86
- 全文大小：724 K
文摘
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A new model, called Local-DNN, is proposed for the gender recognition problem.
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The model is based on local features and deep neural networks.
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The local contributions are combined in a voting scheme for the final classification.
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The model obtains state-of-the-art results in two wild face image datasets.