A journal of IEEE and CAA , publishes
high-quality papers in English on original
theoretical/experimental research
and development in all areas of automation
Volume 11
Issue 2
IEEE/CAA Journal of Automatica Sinica
| Citation: | Y. Han, L. Wang, Y. Wang, and Z. Geng, “Intelligent small sample defect detection of concrete surface using novel deep learning integrating improved YOLOv5,” IEEE/CAA J. Autom. Sinica, vol. 11, no. 2, pp. 545–547, Feb. 2024. doi: 10.1109/JAS.2023.124035
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| [1] |
L. Yang, B. Li, W. Li, H. Brand, B. Jiang, and J. Xiao, “Concrete defects inspection and 3D mapping using CityFlyer quadrotor robot,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 991–1002, 2020. doi: 10.1109/JAS.2020.1003234
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| [2] |
R. Y. Zhao, J. Li, Y. Chen, et al., “Defects detection of high voltage insulation pull rod based on ultrasonic wave method,” in Proc. IEEE Int. Conf. High Voltage Engineering and Application, 2020, pp. 1–4.
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| [3] |
J. J. Dhule, N. B. Dhurpate, S. S. Gonge, and G. M. Kandalkar, “Edge detection technique used for identification of cracks on vertical walls of the building, ” in Proc. Int. Conf. Computing and Network Communi., 2015, pp. 263–268.
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| [4] |
Y. Lin, Z. Xu, D. Chen, Z. Ai, Y. Qiu, and Y. Yuan, “Wood crack detection based on data-driven semantic segmentation network,” IEEE/CAA J. Autom. Sinica, vol. 10, no. 6, pp. 1510–1512, 2023. doi: 10.1109/JAS.2023.123357
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| [5] |
Y. Li and J. Xu, “Electronic product surface defect detection based on a MSSD network,” in Proc. 4th IEEE Information Technology, Networking, Electronic and Automation Control Conf., 2020, pp. 773–777.
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| [6] |
L. Zhu, J. Zhang, and C. Jia, “An improved YOLOv5-based method for surface defect detection of steel plate,” in Proc. China Automation Congr., 2022, pp. 2233–2238.
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| [7] |
A. Zaafouri, M. Sayadi, and F. Fnaiech, “A developed unsharp masking method for images contrast enhancement,” in Proc. Int. Multi-Conf. Systems, Signals & Devices, Sousse, 2011, pp. 1–6.
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| [8] |
J. Engelmann and S. Lessmann, “Conditional Wasserstein GAN-based oversampling of tabular data for imbalanced learning,” Expert Systems Applications, vol. 174, p. 114582, Jan. 2021. doi: 10.1016/j.eswa.2021.114582
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| [9] |
Z. Wang, L. Jin, S. Wang, and H. Xu, “Apple STEM/CALYX real-time recognition using YOLO-v5 algorithm for fruit automatic loading system,” Postharvest Biology Technology, vol. 185, p. 111808, 2022. doi: 10.1016/j.postharvbio.2021.111808
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| [10] |
A. Del Signore, A. J. Hendriks, H. R. Lenders, R. S. Leuven, and A. M. Breure, “Development and application of the SSD approach in scientific case studies for ecological risk assessment,” Environmental Toxicology and Chemistry, vol. 35, no. 9, pp. 2149–2161, May 2016. doi: 10.1002/etc.3474
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| [11] |
J. Redmon and A. Farhadi, “YOLOv3: An incremental improvement,” arXiv preprint arXiv: 1804.02767, Apr. 2018.
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