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Weak Appearance Aware Pipeline Leak Detection Based on CNN–Transformer Hybrid Architecture

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Year: 2024
Type: article
Source: IEEE Transactions on Instrumentation and Measurement
DOI: 10.1109/tim.2024.3504562
Authors: Bulin Zhang, Haiwen Yuan, Jie Ge, Li Cheng, Xuan Li, Changshi Xiao
Institutions: Wuhan Institute of Technology, Wuhan University of Technology
Language: English

Topic: Industrial Vision Systems and Defect Detection
Subfield: Industrial and Manufacturing Engineering
Field: Engineering
Domain: Physical Sciences
SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Science Foundation, National Natural Science Foundation of China, Natural Science Foundation of Hubei Province
Awards: G1390342257, G3237267260, G4052434923, G4842309580, G5409783117
OpenAlex ID: W4404688563
FWCI: 1.657
Cites: 33
Cited by: 8
Related to: 10
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