[1] LI Xiaozhou, YU Huadong, YU Zhanjiang et al. Optical inspection method for surface defects of micro-components[J]. China Ordnance Society, 32, 872-877(2011).

[2] HUANG Lian, LIU Xiaojun, LEI Zili et al. Rubber seals based on singular value decomposition loop surface defect detection method[J]. Lubrication & Sealing, 46, 84-88(2021).

[3] LI Xiaoguang, ZHU Juan, SHI Haoran et al. Surface defect detection of seals based on K-means clustering algorithm and particle swarm optimization[J]. Scientific Programming, 12, 4805-4811(2013).

[4] FAN Lili, ZHAO Hongwei, ZHAO Haoyu et al. Based on deep convolutional neural networks review of object detection research[J]. Optics and Precision Engineering, 28, 1152-1164(2020).

[5] LIU Sicheng, LI Jiachen, DENG Hao et al. Improved small target detection algorithm based on YOLOv5[J]. Ordnance Industry Automation, 41, 78-82(2022).

[6] QI Linglong, GAO Jianling. Small target detection based on improved YOLOv7[J]. Computer Engineering, 49, 41-48(2023).

[7] YU Liya, WANG Zheng, DUAN Zhongjing. Detecting gear surface defects using background-weakening method and convolutional neural network[J]. Journal of Sensors, 20, 1-13(2019).

[8] CHENG Gong, YUAN Xiang, YAO Xiwen et al. Towards large-scale small object detection: survey and benchmarks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 10, 1-20(2023).

[9] TAO Xiaotian, HE Boxia, ZHANG Penghui et al. Surface defect detection of aerospace sealing ring based on deep learning[J]. Chinese Journal of Scientific Instrument, 42, 199-205(2021).

[10] ZHANG Jiangning, LI Xiangtai, LI Jian et al. Rethinking mobile block for efficient attention-based models[J/OL]. https://arxiv.org/abs/2301.01146

[11] LI Jiashi, XIA Xin. Next-ViT:next generation vision transformer for efficient deployment in realistic industrial scenarios[J/OL]. https://arxiv.org/abs/2207.05501

[12] LIU Ze, LIN Yutong, CAO Yue et al. Swin transformer: hierarchical vision transformer using shifted windows[C](2021).

[13] CAO Jinming, LI Yangyan, SUN Mingchao et al. DO-Conv: depthwise over-parameterized convolutional layer[J]. IEEE Transactions on Image Processing, 31, 3726-3736(2020).

[14] ZHANG Meng, YIN Liju. Solar cell surface defect detection based on improved YOLOv5[J]. IEEE Access, 10, 10-15(2022).