Feature encoding with hybrid heterogeneous structure model for image classification-Reference-Cited by-同舟云学术

Feature encoding with hybrid heterogeneous structure model for image classification

Published:2020-07-08 Issue:10 Volume:14 Page:2166-2174
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Ji Zhihang¹²,Yang Yan¹³,Wang Fan¹,Xu Lijuan¹,Hu Xiaopeng¹

Affiliation:

1. School of Computer Science and Technology, Dalian University of TechnologyNo. 2 Linggong RoadDalian116024People's Republic of China

2. School of Information Engineering, Henan University of Science and TechnologyNo.263 Kaiyuan AvenueLuoyang471023People's Republic of China

3. Liaoning Normal UniversityNo.850 Huanghe RoadDalian116029People'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.2019.0719

Reference51 articles.

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2. KrizhevskyA. SutskeverI. HintonG.E.: ‘Imagenet classification with deep convolutional neural networks’.Advances In Neural Information Processing Systems 2012 pp.1097–1105

3. SimonyanK. ZissermanA.: ‘Very deep convolutional networks for large‐scale image recognition’ arXiv preprint arXiv:1409.1556 2014

4. Deep learning

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