Performance Comparison of Convolutional and Transformer Neural Networks in Defect Classification for Industrial Images-Reference-Cited by-同舟云学术

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Performance Comparison of Convolutional and Transformer Neural Networks in Defect Classification for Industrial Images

Published:2024-05-27 Issue: Volume:08204 Page:1-6
ISSN:
Container-title:2024 21st International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)
language:
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Author:

Talib Muhammad Syukri Mohd¹,Samsuri Muhammad Hafiz¹,Yuen Shang Li¹,Lau Phooi Yee¹,Wong Chin Wee¹,Kamarudin Nur Afiqah¹,Hon Hock Woon¹

Affiliation:

1. Advanced Intelligence Lab MIMOS Berhad),Kuala Lumpur,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10594802/10594778/10594916.pdf?arnumber=10594916

Reference19 articles.

1. Axial attention in multidimensional transformers;Ho;Cornell University),2019

2. NoisyNN: Exploring the Influence of Information Entropy Change in Learning Systems;Yu;Cornell University),2023

3. Benchmarking Deep Learning Frameworks: Design Considerations, Metrics and Beyond

4. Comparison and benchmarking of AI models and frameworks on mobile devices;Luo;Cornell University),2020

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