Weak Appearance Aware Pipeline Leak Detection based on CNN-Transformer Hybrid Architecture

被引：0
|
作者：
Zhang, Bulin [1 ]
Yuan, Haiwen [2 ,3 ]
Ge, Jie [1 ]
Cheng, Li [1 ]
Li, Xuan [1 ]
Xiao, Changshi [4 ]
机构：
[1] School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan,430205, China
[2] School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan,430205, China
[3] Hubei Key Laboratory of Optical Information and Pattern Recognition, Wuhan Institute of Technology, Wuhan,430205, China
[4] School of Navigation, Wuhan University of Technology, Wuhan,430063, China
来源：
IEEE Transactions on Instrumentation and Measurement | 2024年
基金：
中国国家自然科学基金;
关键词：
Contact less - Defect detection - Hybrid architectures - Industrial automation - Industrial production lines - Leaks detections - Pipeline leakage - Pipeline leaks - Semantic segmentation - Visual inspection;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
35
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