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YOLO11-WLBS: an efficient model for pavement defect detection

Abstract Pavement defects pose serious threats to traffic safety, pavement durability, and operational efficiency. To achieve accurate and real-time identification of pavement defects, this study proposes an enhanced lightweight model, YOLO11-WLBS, which integrates four improved modules—Wavelet Tran...

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Hoofdauteurs: Junqi Lin, Pinxin Wang, Yunkai Ruan, Yunqiang Sun
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Nature Portfolio 2026-01-01
Reeks:Scientific Reports
Onderwerpen:
Pavement defect detection
YOLO11
Detection precision
Lightweight performance
Generalization
Online toegang:https://doi.org/10.1038/s41598-026-35743-8
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