[1] MING Wuyi, JIA Haojie, HE Wenbin et al. Detecting surface defects of transparent parts with computer vision[J]. Mechanical Science and Technology for Aerospace Engineering, 40, 116-124(2021).

[2] CAO Yu, XU Chuanpeng. Application of an improved threshold segmentation algorithm in lens defect detection[J]. Laser and Optoelectronics Progress, 58, 219-224(2021).

[3] CHANG C F, WU J L, CHEN K J et al. A hybrid defect detection method for compact camera lens[J]. Advances in Mechanical Engineering, 9, 287-313(2017).

[4] LUO Huilan, CHEN Hongkun. Survey of object detection based on deep learning[J]. Acta Electronica Sinica, 48, 1230-1239(2020).

[5] LIU W, ANGUELOV D, ERHAN D et al. Ssd: single shot multibox detector[C], 21-37(2016).

[6] PARK J K, KWON B K, PARK J H et al. Machine learning-based imaging system for surface defect inspection[J]. International Journal of Precision Engineering and Manufacturing-Green Technology, 3, 303-310(2016).

[7] WANG Yulong. Research on scratch detection of optical lens surface based on U-Net network[D](2021).

[8] ZHU Hongzhao. The research on resin lens defect recognition method based on degenerate YOLO network[D](2019).

[9] WEN Caihong. Research on defect detection method for resin lenses based on YOLO[D](2022).

[10] SUN Lei, YANG Yu, MAO Xiuqing et al. Data generation based on generative adversarial network with spatial features[J]. Journal of Electronics and Information Technology, 45, 1959-1969(2023).

[11] HU J, SHEN L, SUN G. Squeeze-and-excitation networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42, 2011-2023(2020).

[12] VASWANI A, SHAZEER N, PARMAR N et al. Attention is all you need[J]. Advances in Neural Information Processing Systems, 1-11(2017).

[13] ZHOU Miaosen, TANG Quanwu, SHI Tiantian et al. Rail surface crack detection algorithm based on improved YOLOv5s[J]. Chinese Journal of Liquid Crystals and Displays, 38, 666-679(2023).

[14] LIN T Y, DOLLAR P, GIRSHICK R et al. Feature pyramid networks for object detection[C], 2117-2125(2017).

[15] LIU S, QI L, QIN H et al. Path aggregation network for instance segmentation[C], 8759-8768(2018).

[16] HE K, GKIOXARI G, DOLLAR P et al. Mask R-CNN[C], 2961-2969(2017).

[17] REN S, HE K, GIRSHICK R et al. Faster R-CNN: towards real-time object detection with region proposal networks[J]. Advances in Neural Information Processing Systems, 91-99(2015).

[18] WANG C Y, BOCHKOVSKIY A, LIAO H Y M. YOLOv7: trainable bag-of-freebies sets new state-of-the-art for real-time object detectors[C], 7464-7475(2023).

[19] HUANG Xiao, WU Long, LI Yao et al. Lightweight steel surface defect detection algorithm based on improved YOLOX-s[J]. Journal of Computer Applications, 43, 201-208(2023).