Multiscale Attention Networks for Pavement Defect Detection-Reference-Cited by-同舟云学术

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Multiscale Attention Networks for Pavement Defect Detection

Published:2023 Issue: Volume:72 Page:1-12
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Chen Junde¹^ORCID,Wen Yuxin¹^ORCID,Nanehkaran Yaser Ahangari²^ORCID,Zhang Defu³^ORCID,Zeb Adnan⁴^ORCID

Affiliation:

1. Dale E. and Sarah Ann Fowler School of Engineering, Chapman University, Orange, CA, USA

2. School of Information Engineering, Yancheng Teachers University, Yancheng, China

3. School of Informatics, Xiamen University, Xiamen, China

4. College of Engineering, Southern University of Science and Technology, Shenzhen, China

Funder

Fundamental Research Funds for the Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10192438.pdf?arnumber=10192438

Reference46 articles.

1. Automation of Pavement Surface Crack Detection using the Continuous Wavelet Transform

2. Attention Augmented Convolutional Networks

3. Wavelet-based pavement distress detection and evaluation

4. Gather-excite: Exploiting feature context in convolutional neural networks;hu;arXiv 1810 12348,2018

5. Ensemble Classifiers for Steganalysis of Digital Media

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4. Road Surface Defect Detection Based on Partial Convolution and Global Attention;International Journal of Pavement Research and Technology;2024-07-19

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