In Proceedings of the 2021 IEEE International Conference on Computer Vision (ICCV), Montreal, QC, Canada, 10–17 October 2021; pp. 3490–3499. [Google Scholar] Zhang, Y.F.; Ren, W.; Zhang, Z.; Jia, Z.; Wang, L.; Tan, T. Focal and efficient IOU loss for accurate bounding box ...
In Proceedings of the 2021 IEEE International Conference on Computer Vision (ICCV), Montreal, QC, Canada, 10–17 October 2021; pp. 3490–3499. [Google Scholar] Zhang, Y.F.; Ren, W.; Zhang, Z.; Jia, Z.; Wang, L.; Tan, T. Focal and efficient IOU loss for accurate bounding box ...
Vision Inspection Module: This module utilizes pretrained model weights to evaluate welding spot quality. By implementing the vision inspection algorithms proposed in this study and integrating real-time welding parameter monitoring, this setup ensures adaptability under data constraints, leveraging deep learn...
automated inspection; computational efficiency; convolutional neural networks; deep learning; object detection; photovoltaics; solar panel defect detection; YOLO models; YOLO object detection1. Introduction The rapid adoption of photovoltaic (PV) systems as a sustainable energy solution has made their ...
Object detection, viewed through the lens of UAVs, stands as a pivotal core technology, finding widespread application across diverse domains including but not limited to traffic surveillance, power infrastructure inspection, agricultural crop analysis, and disaster response efforts [1]. However, due to...
In addition, MFB-YOLOv8 also performs well in terms of recall and precision, effectively reducing misjudgments and omissions and ensuring the accuracy of inspection results. However, although the amount of computation slightly increases and the FPS drops, it still meets the real-time requirements. ...
While manual inspection has traditionally been used to identify these defects, it is often impractical for large-scale solar farms due to its labor-intensive and time-consuming nature. This has created a pressing need for automated and scalable defect detection systems [5]. Recent advancements in ...
In addition, MFB-YOLOv8 also performs well in terms of recall and precision, effectively reducing misjudgments and omissions and ensuring the accuracy of inspection results. However, although the amount of computation slightly increases and the FPS drops, it still meets the real-time requirements. ...
In Advances in Neural Information Processing Systems, Proceedings of the 28th International Conference on Neural Information Processing Systems, Montreal, QC, Canada, 7–12 December 2015; MIT Press: Cambridge, MA, USA, 2015; Volume 28. [Google Scholar] Yi, H.; Liu, B.; Zhao, B.; Liu, E...
In Proceedings of the 32nd Conference on Neural Information Processing Systems (NeurIPS 2018), Montréal, QC, Canada, 3–8 December 2018; pp. 9628–9639. [Google Scholar] Huang, X.; Wang, X.; Lv, W.; Bai, X.; Long, X.; Deng, K.; Dang, Q.; Han, S.; Liu, Q.; Hu, X.;...