[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 …
daily passing and transportation-associated activities. The good conditions and smooth …
Deep Learning and Computer Vision Techniques for Enhanced Quality Control in Manufacturing Processes
Ensuring product quality and integrity is paramount in the rapidly evolving landscape of
industrial manufacturing. Although effective to a certain degree, traditional quality control …
industrial manufacturing. Although effective to a certain degree, traditional quality control …
A deeper generative adversarial network for grooved cement concrete pavement crack detection
Periodic grooved cement concrete pavement crack detection is of great importance for
pavement condition monitoring and maintenance. The current state-of-the-art (SOTA) …
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
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 …
in road service condition assessment and maintenance decision-making practices. Recent …
Recent computer vision applications for pavement distress and condition assessment
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 …
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 …
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 …
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 …
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 …
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 …
ability of transfer learning, a robust and generalized framework for cross-scene 3D …