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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Veröffentlicht in:	Applied intelligence (Dordrecht, Netherlands) Jg. 55; H. 10; S. 716
Hauptverfasser:	Zhang, Ting, You, Tianyang, Liu, Zhaoying, Rehman, Sadaqat Ur, Shi, Yanan, Munshi, Amr
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Boston Springer Nature B.V 01.06.2025
Schlagworte:	Accuracy Adaptive sampling Classification Datasets Defects Gas pipelines
ISSN:	0924-669X, 1573-7497
Online-Zugang:	Volltext
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