[HTML][HTML] Pavement crack detection with hybrid-window attentive vision transformers

S Xiao, K Shang, K Lin, Q Wu, H Gu, Z Zhang - International Journal of …, 2023 - Elsevier
Pavement, as a kind of common public transit infrastructure, plays an important part in the
daily passing and transportation-associated activities. The good conditions and smooth …

Deep Learning and Computer Vision Techniques for Enhanced Quality Control in Manufacturing Processes

MR Islam, MZH Zamil, ME Rayed, MM Kabir… - IEEE …, 2024 - ieeexplore.ieee.org
Ensuring product quality and integrity is paramount in the rapidly evolving landscape of
industrial manufacturing. Although effective to a certain degree, traditional quality control …

A deeper generative adversarial network for grooved cement concrete pavement crack detection

J Zhong, J Huyan, W Zhang, H Cheng, J Zhang… - … Applications of Artificial …, 2023 - Elsevier
Periodic grooved cement concrete pavement crack detection is of great importance for
pavement condition monitoring and maintenance. The current state-of-the-art (SOTA) …

ECSNet: An accelerated real-time image segmentation CNN architecture for pavement crack detection

T Zhang, D Wang, Y Lu - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
The ability to perform pixel-wise segmentation on pavement cracks in real-time is paramount
in road service condition assessment and maintenance decision-making practices. Recent …

Recent computer vision applications for pavement distress and condition assessment

H Ayman, MW Fakhr - Automation in Construction, 2023 - Elsevier
Amidst the unprecedented demographic boom, coupled with climate change, more pressure
is being exerted on road networks. Asset managers are thus in search for time and cost …

Establishment and evaluation of conditional GAN-based image dataset for semantic segmentation of structural cracks

T Jin, XW Ye, ZX Li - Engineering Structures, 2023 - Elsevier
Crack detection is vital to maintain the structural safety of in-service bridges, which is an
increasing demand in the industrial community. The deep learning-based crack detection is …

A survey of defect detection applications based on generative adversarial networks

X He, Z Chang, L Zhang, H Xu, H Chen, Z Luo - IEEE Access, 2022 - ieeexplore.ieee.org
With the development of science and technology and the progress of the times, automation
and intelligence have been popularized in manufacturing in all walks of life. With the …

Keypoint detection-based and multi-deep learning model integrated method for identifying vehicle axle load spatial-temporal distribution

B Xu, C Liu - Advanced Engineering Informatics, 2024 - Elsevier
Within the domain of operational bridges, the assessment of vehicle loads assumes
paramount significance due to the inherent uncertainty and randomness associated with …

A novel hierarchical training architecture for Siamese Neural Network based fault diagnosis method under small sample

J Zhao, M Yuan, J Cui, J Huang, F Zhao, S Dong, Y Qu - Measurement, 2023 - Elsevier
Although current deep learning-based fault diagnosis methods have made great progress,
the accuracy of these models is usually attained based on many balanced training samples …

Transfer learning for cross-scene 3D pavement crack detection based on enhanced deep edge features

R Gui, Q Sun, W Wu, D Zhang, Q Li - Engineering Applications of Artificial …, 2023 - Elsevier
Inspired by heterogeneity of rapid-increasing 3D pavement data and the generalization
ability of transfer learning, a robust and generalized framework for cross-scene 3D …