Multimodal Fusion Convolutional Neural Network With Cross-Attention Mechanism for Internal Defect Detection of Magnetic Tile-Reference-Cited by-同舟云学术

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Multimodal Fusion Convolutional Neural Network With Cross-Attention Mechanism for Internal Defect Detection of Magnetic Tile

Published:2022 Issue: Volume:10 Page:60876-60886
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Lu Houhong¹^ORCID,Zhu Yangyang¹,Yin Ming¹^ORCID,Yin Guofu¹^ORCID,Xie Luofeng¹^ORCID

Affiliation:

1. School of Mechanical Engineering, Sichuan University, Chengdu, China

Funder

Postdoctoral Science Foundation of China

Department of Science and Technology of Sichuan Province

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09791482.pdf?arnumber=9791482

Reference35 articles.

1. Batch normalization: Accelerating deep network training by reducing internal covariate shift;ioffe;Proc Int Conf Mach Learn,2015

2. Multiscale Convolutional Attention Network for Predicting Remaining Useful Life of Machinery

3. Rolling bearing fault diagnosis based on feature fusion with parallel convolutional neural network

4. Automatic Modulation Classification Based on Deep Residual Networks With Multimodal Information

5. Squeeze-and-Excitation Networks

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