Laser Journal, Volume. 45, Issue 7, 118(2024)
Surface defect detection of solar cells based on improved YOLOX-S
[3] [3] Zhang X, Hou T, Hao Y, et al. Surface Defect Detection of Solar Cells Based on Multiscale Region Proposal Fusion Network[J]. IEEE Access, 2021, 9: 62093-62101.
[8] [8] Ge Z, Liu S, Wang F, et al. Yolox: Exceeding yolo series in 2021[J]. arXiv preprint arXiv: 2107.08430, 2021.
[10] [10] Zhang X, Zhang Y, Hu M, et al. Insulator defect detection based on YOLO and SPP-Net[C]//2020 International Conference on Big Data & Artificial Intelligence & Software Engineering (ICBASE). IEEE, 2020: 403-407.
[11] [11] Abrahamyan L, Ziatchin V, Chen Y, et al. Bias loss for mobile neural networks[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision. 2021: 6556-6566.
[12] [12] Dai Y, Gieseke F, Oehmcke S, et al. Attentional Feature Fusion[J]. arXiv preprint arXiv: 2009.14082, 2020.
[13] [13] Ma N, Zhang X, Sun J. Funnel activation for visual recognition[C]//Computer Vision-ECCV 2020: 16th European Conference, Glasgow, UK, August 23-28, 2020, Proceedings, Part XI 16. Springer International Publishing, 2020: 351-368.
Get Citation
Copy Citation Text
WANG Shuqing, ZHU Wenxin, ZHANG Ziyan, WANG Juan. Surface defect detection of solar cells based on improved YOLOX-S[J]. Laser Journal, 2024, 45(7): 118
Category:
Received: Nov. 25, 2023
Accepted: Dec. 20, 2024
Published Online: Dec. 20, 2024
The Author Email: