Effect of fusing features from multiple DCNN architectures in image classification-Reference-Cited by-同舟云学术

Effect of fusing features from multiple DCNN architectures in image classification

Published:2018-07 Issue:7 Volume:12 Page:1102-1110
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Akilan Thangarajah¹,Wu Qingming Jonathan¹,Zhang Hui²

Affiliation:

1. Department of Electrical and Computer EngineeringUniversity of Windsor401 Sunset AvenueWindsorCanada

2. College of Electrical and Information Engineering, Changsha University of Science and TechnologyChangshaPeople's Republic of China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-ipr.2017.0232

Reference51 articles.

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4. 2012 Inter. Conf. Pattern Recognition (ICPR) T. Wang D.J. Wu A. Coates End‐to‐end text recognition with convolutional neural networks

5. 2012 Inter. Conf. Pattern Recognition (ICPR) T.‐B. Fernando E. Fromont D. Muselet Discriminative feature fusion for image classification 3434 3441

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