Ablation experiments.

<div><p>Insulator defect detection is a critical task in distribution network inspections. To address issues such as low detection accuracy, high model complexity, and large parameter counts caused by the variety of insulator defect types, this study propose a lightweight multi-defect de...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Weiyu Han (3448742) (author)
مؤلفون آخرون:	Zixuan Cai (20765907) (author), Xin Li (51274) (author), Anan Ding (20765910) (author), Yuelin Zou (20765913) (author), Tianjun Wang (1524403) (author)
منشور في:	2025
الموضوعات:	Medicine Genetics Molecular Biology Sociology Cancer Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified suppress irrelevant features siou loss function simam attention mechanism introducing scconv module improve c2f module higher average accuracy experimental results show encompasses four types target detection dataset low detection accuracy improve detection accuracy distribution network inspections accelerate model convergence insulator dataset compared high model complexity defect detection network insulator defect types defect detection network improves computational complexity shedding insulator model parameters broken insulator absent insulator study propose study creates reduces spatial lightweight algorithm effective solution critical task channel redundancy address issues
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Ablation experiments.

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