Mask-Guided Attention for Subcategory-Level Sewer Pipe Crack Classification-Reference-Cited by-同舟云学术

Mask-Guided Attention for Subcategory-Level Sewer Pipe Crack Classification

Published:2024-02 Issue:1 Volume:15 Page:
ISSN:1949-1190
Container-title:Journal of Pipeline Systems Engineering and Practice
language:en
Short-container-title:J. Pipeline Syst. Eng. Pract.

Author:

Zuo Xin¹,Ma Beier²,Shen Jifeng³^ORCID,Shan Yongwei⁴^ORCID,Khaleghian Hossein⁵

Affiliation:

1. Associate Professor, School of Computer Science and Engineering, Jiangsu Univ. of Science and Technology, Zhenjiang 212003, China.

2. Graduate Research Assistant, School of Computer Science and Engineering, Jiangsu Univ. of Science and Technology, Zhenjiang 212003, China.

3. Associate Professor, School of Electronic and Informatics Engineering, Jiangsu Univ., Zhenjiang 212013, China. ORCID: .

4. Associate Professor, School of Civil and Environmental Engineering, Oklahoma State Univ., Stillwater, OK 74078 (corresponding author). ORCID: .

5. Postdoc Researcher, School of Civil and Environmental Engineering, Oklahoma State Univ., Stillwater, OK 74078.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Mechanical Engineering,Civil and Structural Engineering

Link

https://ascelibrary.org/doi/pdf/10.1061/JPSEA2.PSENG-1482

Reference27 articles.

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3. Chen K. H. Hu C. Chen L. Chen and C. He. 2018. “An intelligent sewer defect detection method based on convolutional neural network.” In Proc. 2018 IEEE Int. Conf. on Information and Automation (ICIA) 1301–1306. New York: IEEE.

4. DeBoda, T., and J. Bayer. 2015. Benefits of PACP® version 7.0 update NASSCO, 878–886. Reston, VA: ASCE.

5. A Distributed K-Means Segmentation Algorithm Applied to Lobesia botrana Recognition