YOLOv8n-RSDD: A High-Performance Low-Complexity Rail Surface Defect Detection Network

Detecting surface defects on railway tracks is of significant importance for reducing the risk of safety incidents in high-speed railways. In response to the challenges in the field of railway track surface defect detection, such as insufficient detection performance, high model complexity, and diff...

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Váldodahkkit:	Zhanao Fang, Liming Li, Lele Peng, Shubin Zheng, Qianwen Zhong, Ting Zhu
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	IEEE 2024-01-01
Ráidu:	IEEE Access
Fáttát:	Object detection rail surface defects deep learning attention mechanism YOLOv8 lightweight
Liŋkkat:	https://ieeexplore.ieee.org/document/10689418/
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