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Sheng-Bin Wang

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Open access Aug 2026

HGNetV2-YOLO: An Efficient and Lightweight Framework for Mechanical Component Detection in Industrial Scenes

A lightweight YOLO-style detector that integrates a PP-HGNetV2 tiny backbone, an enhanced normalization-based attention module (ImNAM), and an improved complete intersection-over-union loss (ImCIoU) shows strong potential for intelligent industrial inspection on resource-constrained platforms, subject to further hardwa...

Bangqiang Han, Qing Cheng, Sheng-Bin Wang et al. · 0 citations

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