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MFF‒YOLO: A Lightweight Road Damage Detection Algorithm Based on Multiscale Feature Fusion
INTELLIGENCE INTERDISCIPLINARY SCIENCE AND ENGINEERING | 更新时间：2026-01-29

    • MFF‒YOLO: A Lightweight Road Damage Detection Algorithm Based on Multiscale Feature Fusion

    • “In the field of road safety, researchers have proposed the MFF-YOLO algorithm based on YOLOv7 tiny, which effectively balances detection accuracy and computational complexity, providing a reference for road defect detection on mobile terminal devices.”
    • Advanced Engineering Sciences   Vol. 58, Issue 1, Pages: 303-312(2026)

    • DOI：10.12454/j.jsuese.202400302    

      CLC： U446.2

    • Received：06 May 2024，

      Revised：2024-08-14，

      Published Online：16 October 2024，

      Published：20 January 2026

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  • Hou Tao,Zhang Tianming,Niu Hongxia.MFF‒YOLO: A lightweight road damage detection algorithm based on multiscale feature fusion[J].Advanced Engineering Sciences,2026,58(1):303‒312. DOI： 10.12454/j.jsuese.202400302.

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Related Author

HOU Tao
ZHANG Tianming
NIU Hongxia
Weiwei FANG
Aifang CHEN
Na MENG
Huwei CHENG
Qingli WANG

Related Institution

School of Automation and Electrical Eng., Lanzhou Jiaotong Univ
School of Computer and Info. Technol., Beijing Jiaotong Univ.
The National Key Laboratory of Water Disaster Prevention, Hohai University
National Engineering Research Center of Water Resources Efficient Utilization and Engineering Safety, Hohai University
China Water The Pearl River Planning, Survey and Design Co., Ltd
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