YOLOv11n-CDL: accurate and lightweight pavement defect detection via enhanced multi-scale attention and feature fusion

Pavement defect detection requires both high accuracy and real-time performance in complex road environments, yet existing lightweight models often struggle with blurred textures, background interference, and small cracks. To address these limitations, this study proposes YOLOv11n-CDL, an enhanced...

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Hlavní autoři:	Jun Dai, Yanyang Gao
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Vilnius Gediminas Technical University 2026-02-01
Edice:	Journal of Civil Engineering and Management
Témata:	pavement maintenance repair YOLOv11n attention mechanism pavement defect detection multi-scale perception
On-line přístup:	https://journals.vilniustech.lt/index.php/JCEM/article/view/26166
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