Enhanced pooling method for convolutional neural networks based on optimal search theory-Reference-Cited by-同舟云学术

Enhanced pooling method for convolutional neural networks based on optimal search theory

Published:2019-09-02 Issue:12 Volume:13 Page:2152-2161
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Lai Xin¹²^ORCID,Zhou Le¹,Fu Zeyu²^ORCID,Naqvi Syed Mohsen²,Chambers Jonathon²³

Affiliation:

1. Key Laboratory of Oil & Gas Equipment of Education MinistrySchool of Mechanical and Electrical Engineering, Southwest Petroleum UniversityChengduPeople's Republic of China

2. School of Engineering, Newcastle UniversityNewcastle upon TyneUK

3. Department of EngineeringUniversity of LeicesterUK

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.2018.6322

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4. Handwritten Hangul recognition using deep convolutional neural networks

5. 2017 IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) Honolulu HI USA Y. Cui F. Zhou J. Wang Kernel pooling for convolutional neural networks 3049 3058

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