Multi-Task CNN Model for Attribute Prediction

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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Bibliographic Details
Main Authors: Abdulnabi, Abrar H., Wang, Gang, Lu, Jiwen, Jia, Kui
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2016
Subjects:
Deep CNN
Latent tasks matrix
Multi-task learning
Semantic attributes
Online Access:https://hdl.handle.net/10356/82925
http://hdl.handle.net/10220/40352

Internet

https://hdl.handle.net/10356/82925
http://hdl.handle.net/10220/40352

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