Balancing complexity and accuracy for defect detection on filters with an improved RT-DETR

Filters are critical components in automotive engine systems, responsible for maintaining stable operation by removing impurities from liquids and gases. Their performance is highly sensitive to surface defects, rendering high-precision automated inspection essential. However, existing defect detect...

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Vydané v:	Scientific reports Ročník 15; číslo 1; s. 29720 - 21
Hlavní autori:	Zhang, Maoyuan, Wei, Xiaojuan, Liu, Guojun, Chen, Mengxu, Zhao, Chunxia, Liu, Yingxiao, Bao, Zhikang, Guo, Yunfeng, An, Run, Zhao, Pengcheng
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Nature Publishing Group UK 13.08.2025 Nature Publishing Group Nature Portfolio
Predmet:	639/705/117 639/705/258 Accuracy Classification Computer applications Deep learning Defects Efficiency Filters Humanities and Social Sciences Impurities Industrial applications Localization multidisciplinary Network management systems Queries Real time Science Science (multidisciplinary) Semantics
ISSN:	2045-2322, 2045-2322
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