Enhancing pixel-level crack segmentation with visual mamba and convolutional networks
Computer vision-based semantic segmentation methods are currently the most widely used
for automated detection of structural cracks in buildings and pavements. However, these …
for automated detection of structural cracks in buildings and pavements. However, these …
CrackDiffusion: A two-stage semantic segmentation framework for pavement crack combining unsupervised and supervised processes
Achieving precise and reliable automated pavement crack detection using deep learning
techniques is vital for intelligent pavement maintenance. This study proposes …
techniques is vital for intelligent pavement maintenance. This study proposes …
[HTML][HTML] Local–Global Feature Adaptive Fusion Network for Building Crack Detection
Cracks represent one of the most common types of damage in building structures and it is
crucial to detect cracks in a timely manner to maintain the safety of the buildings. In general …
crucial to detect cracks in a timely manner to maintain the safety of the buildings. In general …
A transformer-based network with feature complementary fusion for crack defect detection
Pavement crack detection poses a formidable challenge due to the intricate texture
structures of cracks and the complex environmental settings in which they are situated. In …
structures of cracks and the complex environmental settings in which they are situated. In …
Weakly-Supervised Pavement Surface Crack Segmentation Based on Dual Separation and Domain Generalization
H Tao - IEEE Transactions on Intelligent Transportation …, 2024 - ieeexplore.ieee.org
Automatic pavement surface crack segmentation is crucial for efficient and cost-effective
road maintenance. Despite fully-supervised crack segmentation methods have achieved …
road maintenance. Despite fully-supervised crack segmentation methods have achieved …
Real-time pavement surface crack detection based on lightweight semantic segmentation model
Efficient and accurate pavement surface crack detection is crucial for analyzing pavement
survey data. To achieve this goal, an improved lightweight semantic segmentation model …
survey data. To achieve this goal, an improved lightweight semantic segmentation model …
[HTML][HTML] Hybrid-Segmentor: Hybrid approach for automated fine-grained crack segmentation in civil infrastructure
It is essential to detect and segment cracks in various infrastructures, such as roads and
buildings, to ensure safety, longevity, and cost-effective maintenance. Despite deep learning …
buildings, to ensure safety, longevity, and cost-effective maintenance. Despite deep learning …
A non-local based microcrack segmentation model optimized for effective high resolution and low-power devices
Concrete is notable for its strength, durability, and versatility, making it a fundamental
material in construction. Nevertheless, microcracks occur in concrete structures due to …
material in construction. Nevertheless, microcracks occur in concrete structures due to …
Network for robust and high-accuracy pavement crack segmentation
Timely segmentation and repair of pavement cracks significantly impacts both traffic safety
and the service life of the roadway. However, current crack segmentation algorithms are …
and the service life of the roadway. However, current crack segmentation algorithms are …
Microcrack investigations of 3D printing concrete using multiple transformer networks
Extrusion-filament and no-framework craft significantly influence microcracks in 3D printing
concrete (3DPC). A detailed analysis of these microcracks is essential to improve overall …
concrete (3DPC). A detailed analysis of these microcracks is essential to improve overall …