Multi-Task CNN Model for Attribute Prediction
This paper proposes a joint multi-task learning algorithm to better predict attributes in images using deep convolutional neural networks (CNN). We consider learning binary semantic attributes through a multi-task CNN model, where each CNN will predict one binary attribute. The multitask learni...
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Main Authors: | Abdulnabi, Abrar H., Wang, Gang, Lu, Jiwen, Jia, Kui |
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Other Authors: | School of Electrical and Electronic Engineering |
Format: | Article |
Language: | English |
Published: |
2016
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/82925 http://hdl.handle.net/10220/40352 |
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Institution: | Nanyang Technological University |
Language: | English |
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