Small sample pipeline DR defect detection based on smooth variational autoencoder and enhanced detection head faster RCNN

The safe operation of gas pipelines is crucial for the safety of residents’ lives and property. However, accurately detecting defects within these gas pipelines is a challenging task. To improve the accuracy of defect detection in pipeline DR images with small sample sizes, we propose an enhanced Fa...

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Vydané v:	Applied intelligence (Dordrecht, Netherlands) Ročník 55; číslo 10; s. 716
Hlavní autori:	Zhang, Ting, You, Tianyang, Liu, Zhaoying, Rehman, Sadaqat Ur, Shi, Yanan, Munshi, Amr
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Boston Springer Nature B.V 01.06.2025
Predmet:	Accuracy Adaptive sampling Classification Datasets Defects Gas pipelines
ISSN:	0924-669X, 1573-7497
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