A crack-segmentation algorithm fusing transformers and convolutional neural networks for complex detection scenarios
The performance of crack segmentation is influenced by complex scenes, including
irregularly shaped cracks, complex image backgrounds, and limitations in acquiring global …
irregularly shaped cracks, complex image backgrounds, and limitations in acquiring global …
Deep learning-based crack segmentation for civil infrastructure: Data types, architectures, and benchmarked performance
This paper reviews recent developments in deep learning-based crack segmentation
methods and investigates their performance under the impact from different image types …
methods and investigates their performance under the impact from different image types …
Efficient attention-based deep encoder and decoder for automatic crack segmentation
Recently, crack segmentation studies have been investigated using deep convolutional
neural networks. However, significant deficiencies remain in the preparation of ground truth …
neural networks. However, significant deficiencies remain in the preparation of ground truth …
A deep segmentation network for crack detection with progressive and hierarchical context fusion
L Yang, H Huang, S Kong, Y Liu - Journal of Building Engineering, 2023 - Elsevier
Accurate detection of crack defects in infrastructure is crucial to ensure their safety and
extend their service life. However, the presence of complex backgrounds, various shapes …
extend their service life. However, the presence of complex backgrounds, various shapes …
SDDNet: Real-time crack segmentation
This article reports the development of a pure deep learning method for segmenting
concrete cracks in images. The objectives are to achieve the real-time performance while …
concrete cracks in images. The objectives are to achieve the real-time performance while …
DcsNet: a real-time deep network for crack segmentation
J Pang, H Zhang, H Zhao, L Li - Signal, Image and Video Processing, 2022 - Springer
Detecting cracks are a great significance for the maintenance of the man-made buildings,
and deep learning methods such as semantic segmentation have greatly boosted this …
and deep learning methods such as semantic segmentation have greatly boosted this …
Automatic concrete crack segmentation model based on transformer
W Wang, C Su - Automation in Construction, 2022 - Elsevier
Routine visual inspection of concrete structures is essential to maintain safe conditions.
Therefore, studies of concrete crack segmentation using deep learning methods have been …
Therefore, studies of concrete crack segmentation using deep learning methods have been …
A spatial-channel hierarchical deep learning network for pixel-level automated crack detection
This research develops a novel computer vision approach named a spatial-channel
hierarchical network (SCHNet), which is feasible to support the automated and reliable …
hierarchical network (SCHNet), which is feasible to support the automated and reliable …
Pixel‐level crack delineation in images with convolutional feature fusion
FT Ni, J Zhang, ZQ Chen - Structural Control and Health …, 2019 - Wiley Online Library
Cracks in civil structures are important signs of structural degradation and may even indicate
the inception of catastrophic failure. Image‐based crack detection has been attempted in …
the inception of catastrophic failure. Image‐based crack detection has been attempted in …
A convolutional-transformer network for crack segmentation with boundary awareness
Cracks play a crucial role in assessing the safety and durability of manufactured buildings.
However, the long and sharp topological features and complex background of cracks make …
However, the long and sharp topological features and complex background of cracks make …
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