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Qing-Bang Han

2 papers indexed here

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WT-DETR: A Lightweight Model for Defect Detection in Buried Sewer Pipelines Based on Frequency–Domain Feature Processing

Advancements in artificial intelligence have provided promising solutions for the detection and classification of internal defects in buried sewer pipelines. However, deep learning methods in this domain still face challenges, particularly regarding limited detection accuracy for small defects and excessively large m...

Ziang Zheng, Qing-Bang Han, Kao Ge et al. · 0 citations
Open access Sep 2026

LSD-DETR: A Lightweight Transformer-Based Detector for Sewer-Pipeline Defects in Forward-Looking Sonar Images

The regular inspection of underground sewer pipelines is essential for maintaining their functionality and supporting sustainable urban development. While optical sensors lack reliability, sonar imagery typically suffers from low contrast and severe noise, which is compounded by the constrained computational resources...

Yao-Heng Huang, Qing-Bang Han, Jin-Huan Wang et al. · 0 citations

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