[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 …
[HTML][HTML] Pavement crack detection from CCD images with a locally enhanced transformer network
Precisely identifying pavement cracks from charge-coupled devices (CCDs) captured high-
resolution images faces many challenges. Even though convolutional neural networks …
resolution images faces many challenges. Even though convolutional neural networks …
Defect-aware transformer network for intelligent visual surface defect detection
Surface defect detection plays an increasing role in intelligent manufacturing and product
life-cycle management, such as quality inspection, process monitoring, and preventive …
life-cycle management, such as quality inspection, process monitoring, and preventive …
Automatic tunnel lining crack evaluation and measurement using deep learning
A tunnel is an imperative underground passageway that supports fast and uninterrupted
transportation. Over time, various factors, such as ageing, topographical changes, and …
transportation. Over time, various factors, such as ageing, topographical changes, and …
Surface defect detection of civil structures using images: Review from data perspective
As civil structures age and deteriorate, it becomes crucial to conduct structural health
monitoring (SHM) to ensure safety and timely maintenance. Surface defect detection plays a …
monitoring (SHM) to ensure safety and timely maintenance. Surface defect detection plays a …
[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 …
Deep learning-based masonry crack segmentation and real-life crack length measurement
While there have been a considerable number of studies on computer vision (CV)-based
crack detection on concrete/asphalt public facilities, such as sewers and tunnels, masonry …
crack detection on concrete/asphalt public facilities, such as sewers and tunnels, masonry …
Defect transformer: An efficient hybrid transformer architecture for surface defect detection
J Wang, G Xu, F Yan, J Wang, Z Wang - Measurement, 2023 - Elsevier
Surface defect detection is an extremely crucial step to ensure the quality of industrial
products. Nowadays, convolutional neural networks (CNNs) based on encoder–decoder …
products. Nowadays, convolutional neural networks (CNNs) based on encoder–decoder …
Toward purifying defect feature for multilabel sewer defect classification
An automatic vision-based sewer inspection plays a key role of sewage system in a modern
city. Recent advances focus on utilizing a deep learning model to realize the sewer …
city. Recent advances focus on utilizing a deep learning model to realize the sewer …