To address the challenges of internal defect detection in metal components, including large variations in defect scale, irregular defect morphology, grayscale similarity between defects and the matrix, and interference from complex material backgrounds, this study proposes an efficient detection model for internal defe...
Jing-Yang Wang, Qi-Rui Yu, Quan-Jin Wan et al.· Conference on Optics and Com...· 0 citations
To address large target scale variations, severe occlusions in crowded scenes, and complex backgrounds in campus surveillance, this study proposes an abnormal behavior detection model named B-YOLOv10-WH. The model introduces the Shape-IoU loss function to improve bounding-box regression accuracy, the Wavelet Transform...
Ke Zhao, Zhong-Shi Shao, Heng Guo et al.· Computer Vision, Graphics an...· 0 citations
The results show that BC-YOLOv10-S delivers strong accuracy, robustness and lightweight deployment capability for laboratory safety warning, with clear engineering value and promising practical potential, thereby supporting the intelligent upgrading of laboratory safety management.
Qiang Zhao, Qingyang Zhang, Jun-Hong Chen et al.· International Conference on...· 0 citations
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