Deep Learning Approaches for Image Classification Techniques-Reference-Cited by-同舟云学术

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Deep Learning Approaches for Image Classification Techniques

Published:2022-02-25 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA)
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Author:

Guan Youyou¹,Han Yuxuan²,Liu Siqi³

Affiliation:

1. Shandong University,Department of Computer Science and Technology,Jinan,China

2. International College Beijing, China Agricultural University,Beijing,China

3. Shanghai University of Engineering Science,Electronic and Electrical Engineering,Shanghai,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9744727/9744728/09744739.pdf?arnumber=9744739

Reference14 articles.

1. Image Classification using SVM and CNN

2. FoveaTer: Foveated Transformer for Image Classification;jonnalagadda;ArXiv>2105 14173 [Cs],2021

3. Automatically Designing CNN Architectures Using the Genetic Algorithm for Image Classification;sun;IEEE Transactions on Cybernetics,2020

4. Recent Trends on Object Detection and Image Classification: A Review;athira;2020 International Conference on Computational Performance Evaluation (ComPE),0

5. Review of deep convolution neural network in image classification

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Introduction to intelligent techniques and applications;Intelligent Computing Techniques in Biomedical Imaging;2025

2. Deep Learning Based Approach in Automatic Microscopic Bacterial Image Classification;Emerging Trends in Expert Applications and Security;2023

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