A Novel Defect Detection Method for Insulators of Power Transmission Line Based on YOLOv5
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-8915-5_12
Reference20 articles.
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2. Tulbure, A.-A., Tulbure, A.-A., Dulf, E.-H.: A review on modern defect detection models using DCNNs - deep convolutional neural networks. J. Adv. Res. 35, 33–48 (2022)
3. Goni, I., Ahmadu, A.S., Malgwi, Y.M.: Image processing techniques and neuro-computing algorithms in computer vision. Adv. Netw. 9(2), 33–38 (2021)
4. Gong, X., Bai, Y., Liu, Y., Mu H.: Application of deep learning in defect Detection. In: Journal of Physics: Conference Series, vol. 1684, no. 1 (2020)
5. Fouda, Y.M.: Integral images-based approach for fabric defect detection. Opt. Laser Technol. 147, 1–15 (2022)
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