[1] Zhang Z, Zou P H, Liu Z F et al. Influence of emitter doping process on performance of industrial IBC solar cell[J]. Acta Energiae Solaris Sinica, 43, 158-162(2022).

[2] Høiaas I, Grujic K, Imenes A G et al. Inspection and condition monitoring of large-scale photovoltaic power plants: a review of imaging technologies[J]. Renewable and Sustainable Energy Reviews, 161, 112353(2022).

[3] Liu M Y, Huang X, Yu J H et al. Generative adversarial networks for image and video synthesis: algorithms and applications[J]. Proceedings of the IEEE, 109, 839-862(2021).

[4] Wang Y Y, Zhou Z G, Luo S. Defect detection for solar photovoltaic cells based on data augmentation[J]. Journal of Electronic Measurement and Instrument, 35, 26-32(2021).

[5] Fan J G, Yuan X F, Miao Z M et al. Full attention Wasserstein GAN with gradient normalization for fault diagnosis under imbalanced data[J]. IEEE Transactions on Instrumentation and Measurement, 71, 1-16(2022).

[6] Zheng M, Li T, Zhu R et al. Conditional Wasserstein generative adversarial network-gradient penalty-based approach to alleviating imbalanced data classification[J]. Information Sciences, 512, 1009-1023(2020).

[7] Wei E, Ren S. Drowning detection based on YOLOv8 improved by GP-GAN augmentation[EB/OL]. https://openreview.net

[8] Terven J, Cordova-Esparza D. A comprehensive review of YOLO: from YOLOv1 and beyond[EB/OL]. https://arxiv.org/abs/2304.00501

[9] Li X, He M, Luo H B. Occluded pedestrian detection algorithm based on improved YOLOv3[J]. Acta Optica Sinica, 42, 1415003(2022).

[10] Tang Z, Zhang H L, Ma L X. Defect detection for solar cells using dense backbone network algorithm[J]. Laser & Optoelectronics Progress, 60, 1412003(2023).

[11] Zhang Y, Zhu G Y, Shi T J et al. Small object detection in remote sensing images based on feature fusion and attention[J]. Acta Optica Sinica, 42, 2415001(2022).

[12] Cheng S, Yang H G, Xu X Q et al. Improved lightweight X-ray aluminum alloy weld defects detection algorithm based on YOLOv5[J]. Chinese Journal of Lasers, 49, 2104005(2022).

[13] Li L L, Wang Z F, Zhang T T. GBH-YOLOv5: ghost convolution with BottleneckCSP and tiny target prediction head incorporating YOLOv5 for PV panel defect detection[J]. Electronics, 12, 561-576(2023).

[14] Xu S W, Qian H M, Shen W Y et al. Defect detection for PV modules based on the improved YOLOv5s[C], 1431-1436(2023).

[15] Lü Z X, Wei X, Ma Z G. Improved YOLOX lightweight helmet detection method[J]. Computer Engineering and Applications, 59, 61-71(2023).

[16] Li Z, Song X, Chen S et al. Data, language and graph-based reasoning methods for identification of human malicious behaviors in nuclear security[EB/OL]. http://dx.doi.org/10.2139/ssrn.4411800

[17] Liu D F, Liang J, Geng T et al. Tripartite feature enhanced pyramid network for dense prediction[J]. IEEE Transactions on Image Processing, 32, 2678-2692(2023).

[18] Kang J, Wang Q, Liu W B et al. Aerial insulator multi-defect detection network by fusing CAT-BiFPN with attention mechanism[J]. High Voltage Technology, 49, 3361-3376(2023).

[19] Dai X Y, Chen Y P, Xiao B et al. Dynamic head: unifying object detection heads with attentions[C], 7369-7378(2021).

[20] Lou H T, Duan X H, Guo J M et al. DC-YOLOv8: small-size object detection algorithm based on camera sensor[J]. Electronics, 12, 2323(2023).

[21] Ruiz-Ponce P, Ortiz-Perez D, Garcia-Rodriguez J et al. POSEIDON: a data augmentation tool for small object detection datasets in maritime environments[J]. Sensors, 23, 3691(2023).

[22] Phan Q B, Nguyen T. A novel approach for PV cell fault detection using YOLOv8 and particle swarm optimization[EB/OL]. https://doi.org/10.36227/techrxiv.22680484.v1

[23] Park T, Liu M Y, Wang T C et al. Semantic image synthesis with spatially-adaptive normalization[C], 2332-2341(2020).

[24] Zhang H Y, Wang Y, Dayoub F et al. VarifocalNet: an IoU-aware dense object detector[C], 8510-8519(2021).

[25] Li X, Wang W H, Wu L J et al. Generalized focal loss: learning qualified and distributed bounding boxes for dense object detection[EB/OL]. https://arxiv.org/abs/2006.04388

[26] Huang S H, Lu Z C, Cheng R et al. FaPN: feature-aligned pyramid network for dense image prediction[C], 844-853(2022).

[27] Hou Q B, Zhou D Q, Feng J S. Coordinate attention for efficient mobile network design[C], 13708-13717(2021).

[28] Hu J, Shen L, Sun G. Squeeze-and-excitation networks[C], 7132-7141(2018).