Spatial Attention Enhanced Pipeline Inner Surface Defect Detection and Digital Twin Modelling-Reference-Cited by-同舟云学术

Spatial Attention Enhanced Pipeline Inner Surface Defect Detection and Digital Twin Modelling

Published:2023-12-22 Issue: Volume:33 Page:289-294
ISSN:
Container-title:2023 6th International Conference on Algorithms, Computing and Artificial Intelligence
language:
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Author:

Xin Guangheng¹^ORCID,Dong Yuan¹^ORCID,Zhao Yi¹^ORCID,Liu Chuanshui²^ORCID,Zhao Shuzhi¹^ORCID

Affiliation:

1. School of Electronic and Control Engineering, Chang?an University, China

2. Huayou Steel Pipe Company, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3639631.3639680

Reference19 articles.

1. Wael A Altabey, Sallam A Kouritem, Mohammed I Abouheaf, and Nabil Nahas. 2022. A deep learning-based approach for pipeline cracks monitoring. In 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). IEEE, 1–6.

2. Wael A Altabey, Sallam A Kouritem, Mohammed I Abouheaf, and Nabil Nahas. 2022. Research in image processing for pipeline crack detection applications. In 2022 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). IEEE, 1–6.

3. Tao Chen, Qing Du, Weizhong Li, Shuiping Sheng, and Hong Zhou. 2023. Ultrasonic Imaging Detection of Welding Joint Defects of Pressure Pipeline Based on Phased Array Technology. In 2023 International Conference on Mechatronics, IoT and Industrial Informatics (ICMIII). IEEE, 375–379.

4. Zheng Ge, Songtao Liu, Feng Wang, Zeming Li, and Jian Sun. 2021. Yolox: Exceeding yolo series in 2021. arXiv preprint arXiv:2107.08430 (2021).

5. Classification cost: An empirical comparison among traditional classifier, Cost-Sensitive Classifier, and MetaCost