[HTML][HTML] Construction and maintenance of urban underground infrastructure with digital technologies
Urban underground infrastructure is a critical component in cities to provide essential
services to residents. Research efforts have been made to facilitate different activities of …
services to residents. Research efforts have been made to facilitate different activities of …
Vision-based defect inspection and condition assessment for sewer pipes: A comprehensive survey
Due to the advantages of economics, safety, and efficiency, vision-based analysis
techniques have recently gained conspicuous advancements, enabling them to be …
techniques have recently gained conspicuous advancements, enabling them to be …
Efficient fused-attention model for steel surface defect detection
CC Yeung, KM Lam - IEEE Transactions on Instrumentation …, 2022 - ieeexplore.ieee.org
Steel surface defect detection is an essential quality control task in manufacturing. As
patterns of defects may be viewed as an object, some current defect detection methods …
patterns of defects may be viewed as an object, some current defect detection methods …
Sewer defect detection from 3D point clouds using a transformer-based deep learning model
Targeting the defect classification from 3D point clouds, this research develops a deep
learning method named the Transformer-based point cloud classification network …
learning method named the Transformer-based point cloud classification network …
A new cycle-consistent adversarial networks with attention mechanism for surface defect classification with small samples
L Wen, Y Wang, X Li - IEEE Transactions on Industrial …, 2022 - ieeexplore.ieee.org
Surface defect detection is the essential process to ensure the quality of products. Surface
defect classification (SDC) based on deep learning (DL) has shown its great potential …
defect classification (SDC) based on deep learning (DL) has shown its great potential …
[HTML][HTML] An automatic defect detection system for petrochemical pipeline based on cycle-gan and yolo v5
K Chen, H Li, C Li, X Zhao, S Wu, Y Duan, J Wang - Sensors, 2022 - mdpi.com
Defect detection of petrochemical pipelines is an important task for industrial production
safety. At present, pipeline defect detection mainly relies on closed circuit television method …
safety. At present, pipeline defect detection mainly relies on closed circuit television method …
TMFF: trustworthy multi-focus fusion framework for multi-label sewer defect classification in sewer inspection videos
An automatic vision-based sewer inspection plays a vital role of sewage system in a modern
city. Recent advances focus on modeling a deep learning-based method to realize the …
city. Recent advances focus on modeling a deep learning-based method to realize the …
[HTML][HTML] A transfer learning-based YOLO network for sewer defect detection in comparison to classic object detection methods
Z Situ, S Teng, W Feng, Q Zhong, G Chen, J Su… - Developments in the …, 2023 - Elsevier
Deep learning has shown promising performance in automated sewer defect detection,
however, is generally data-driven and computationally intensive. Transfer learning (TL) …
however, is generally data-driven and computationally intensive. Transfer learning (TL) …
Deep learning-assisted automated sewage pipe defect detection for urban water environment management
A healthy sewage pipe system plays a significant role in urban water management by
collecting and transporting wastewater and stormwater, which can be assessed by hydraulic …
collecting and transporting wastewater and stormwater, which can be assessed by hydraulic …
Progressive refined redistribution pyramid network for defect detection in complex scenarios
Due to the rapid development of manufacturing capabilities and the general improvement in
requirements for product quality, the role of quality inspection in the industrial production …
requirements for product quality, the role of quality inspection in the industrial production …