[1] G Q Li. Analysis on the development status of bell-less top equipment maintenance for blast furnaces. Plant Maintenance Eng, 35-36(2019).
[2] C Y Pan. Research on data compression method of massive magnetic flux leakage detection data of surface defects on steel plate based on improved SPIHT algorithm(2013).
[3] C H Xu, G M Chen, J Xie. Application of infrared thermography technology in surface defects detection of products in metal. Manuf Autom Eng, 31, 51-54(2009).
[5] J L Lu, M X Lin, Y Huang et al. A high-accuracy algorithm for surface defect detection of steel based on DAG-SVM. Sens Transducers, 157, 412-418(2013).
[7] K Y Ding, Z H Ding, Z B Zhang et al. SCD-YOLO: a novel object detection method for efficient road crack detection. Multimedia Syst, 30, 351(2024).
[8] K J Zhu. Research on object detection based on deep learning. Mod Inf Technol, 8, 76-83(2024).
[9] S Q Ren, K M He, R Girshick et al. Faster R-CNN: towards real-time object detection with region proposal networks. IEEE Trans Pattern Anal Mach Intell, 39, 1137-1149(2017).
[10] Q Liu, J S Lei. Surface defect detection of steel based on improved deep network. Comput Eng Design, 43, 2654-2661(2022).
[12] F F Jiang, N Li, C C Qiu et al. Defect detection method of wire mesh based on improved Faster RCNN. China Sciencepaper, 19, 153-159(2024).
[13] Y T Ma, H D Zhao, C Yan et al. Strip steel surface defect detection method by improved YOLOv5 network. J Electron Meas Instrum, 36, 150-157(2022).
[14] A Vaswani, N Shazeer, N Parmar et al. Attention is all you need, 6000-6010(2017).
[15] X Li, C Wang, B Li et al. Steel surface defect detection algorithm based on Improved YOLOv 5. J Air Force Eng Univ, 23, 26-33(2022).
[16] C Xiong, A N Yu, X H Gao et al. Steel surface defect detection algorithm based on improved YOLOX. Electron Meas Technol, 46, 151-157(2023).
[17] L M Liang, P W Long, B H Lu et al. Improvement of GBS-YOLOv7t for steel surface defect detection. Opto-Electron Eng, 51, 240044(2024).
[24] Y He, K C Song, Q G Meng et al. An end-to-end steel surface defect detection approach via fusing multiple hierarchical features. IEEE Trans Instrum Meas, 69, 1493-1504(2020).
C Lion. 铝片表面工业缺陷目标检测. Baidu AI Studio(2022). https://aistudio.baidu.com/datasetdetail/135640
[26] M Everingham, S M A Eslami, Gool L Van et al. The PASCAL visual object classes challenge: a retrospective. Int J Comput Vision, 111, 98-136(2015).
[27] Y L Hu. 带状合金功能材料表面缺陷数据集. Baidu AI Studio(2024). https://aistudio.baidu.com/datasetdetail/299785
[29] J X Shuai. The design and implementation of the digital system of a System-on-a-Chip CMOS image sensor(2009).
[30] J Redmon, A Farhadi. YOLOv3: an incremental improvement(2018). https://arxiv.org/abs/1804.02767