QL-YOLOv8s: Precisely Optimized Lightweight YOLOv8 Pavement Disease Detection Model

Detecting road surface defects is essential for highway maintenance, yet the application of most models is hindered by the limitations of existing detection resources. To address this challenge, we have enhanced YOLOv8, introducing a lightweight detection model dubbed QL-YOLOv8s. In this study, we e...

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Hlavní autoři:	Guo Jinbo, Wang Shenghuai, Chen Xiaohui, Wang Chen, Zhang Wei
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2024-01-01
Edice:	IEEE Access
Témata:	Road surface disease detection lightweight YOLOv8 MLCA DWR BiFPN
On-line přístup:	https://ieeexplore.ieee.org/document/10659888/
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