Research on Surface Defect Detection of Aluminum Profile Based on Attention Mechanism ResNet-Reference-Cited by-同舟云学术

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Research on Surface Defect Detection of Aluminum Profile Based on Attention Mechanism ResNet

Published:2024-06-12 Issue: Volume: Page:194-201
ISSN:
Container-title:2024 2nd International Conference on Mechatronics, IoT and Industrial Informatics (ICMIII)
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Author:

Huang Zhichao¹,Liu Zixuan²,Yin Haibo³,Song Zhuoyang⁴,Tian Jiao²

Affiliation:

1. Donghua University,School of Computer Science and Technology,Shanghai,China,201600

2. Donghua University,College of Mechanical Engineering,Shanghai,China,201620

3. Donghua University,School of Mechanical Engineering,Shanghai,China,201620

4. Donghua University,School of Mechanical Engineering,Shanghai,China,201600

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10659854/10659821/10660144.pdf?arnumber=10660144

Reference9 articles.

1. Two-Stream Convolutional Neural Network Based on Gradient Image for Aluminum Profile Surface Defects Classification and Recognition

2. A General Survey on Attention Mechanisms in Deep Learning

3. Attention mechanisms in computer vision: A survey

4. SENet: A deep learning framework for discriminating super- and typical enhancers by sequence information

5. A dual attention mechanism network with self-attention and frequency channel attention for intelligent diagnosis of multiple rolling bearing fault types

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