Research graph
References from Engineering-oriented automated crack inspection and maximum-width quantification using MSCrack. Local targets link to admitted publications; unresolved targets remain external evidence.
On the crack characterization of reinforced concrete structures: Experimental and data-driven numerical study[J]
10.1016/j.istruc.2020.12.069 · 2021 · External reference
Data-driven models for predicting tensile load capacity and failure mode of grouted splice sleeve connection[J]
10.1016/j.engstruct.2023.116236 · 2023 · External reference
Review on durability deterioration and mitigation of concrete structures[J]
10.3390/coatings15090982 · 2025 · External reference
Quantitative assessment of cracks in concrete structures using active-learning-integrated transformer and unmanned robotic platform[J]
10.1016/j.autcon.2024.105829 · 2024 · External reference
Reliability assessment on maximum crack width of concrete beams reinforced with high-strength steel bars[J]
2022 · External reference
Review on computer vision-based crack detection and quantification methodologies for civil structures[J]
10.1016/j.conbuildmat.2022.129238 · 2022 · External reference
A review of image-based deep learning methods for crack detection[J]
10.1007/s11042-025-20729-x · 2025 · External reference
Deep learning for surface crack detection in civil engineering: a comprehensive review[J]
10.1016/j.measurement.2025.116908 · 2025 · External reference
Extended efficient convolutional neural network for concrete crack detection with illustrated merits[J]
10.1016/j.autcon.2023.105098 · 2023 · External reference
Real-time pavement damage detection with damage shape adaptation[J]
10.1109/tits.2024.3416508 · 2024 · External reference
10.1109/ivs.2019.8814000
10.1109/ivs.2019.8814000 · External reference
Enhanced intelligent identification of concrete cracks using multi-layered image preprocessing-aided convolutional neural networks[J]
10.3390/s20072021 · 2020 · External reference
Crack and noncrack classification from concrete surface images using machine learning[J]
10.1177/1475921718768747 · 2019 · External reference
Automatic detection method of tunnel lining multi-defects via an enhanced you only look once network[J]
10.1111/mice.12836 · 2022 · External reference
Automatic pixel-level crack detection and measurement using fully convolutional network[J]
10.1111/mice.12412 · 2018 · External reference
Crack detection on concrete surfaces using deep encoder-decoder convolutional neural network: a comparison study between U-Net and DeepLabV3+[J]
10.22146/jcef.65288 · 2021 · External reference
U-Net: Convolutional networks for biomedical image segmentation[C]
2015 · External reference
Computer vision-based concrete crack detection using U-Net fully convolutional networks[J]
10.1016/j.autcon.2019.04.005 · 2019 · External reference
Automated crack segmentation in close-range building facade inspection images using deep learning techniques[J]
2021 · External reference
A comparison study of semantic segmentation networks for crack detection in construction materials[J]
10.1016/j.conbuildmat.2024.134950 · 2024 · External reference
Automatic pixel-level pavement sealed crack detection using Multi-fusion U-Net network[J]
10.1016/j.measurement.2023.112475 · 2023 · External reference
Toward enhancing concrete crack segmentation accuracy under complex scenarios: a novel modified U-Net network[J]
10.1007/s11042-024-18568-3 · 2024 · External reference
Lightweight dual-attention network for concrete crack segmentation[J]
10.3390/s25144436 · 2025 · External reference
Lightweight concrete crack segmentation network for drone image with complex backgrounds using multi-scale feature fusion and optimized architecture[J]
10.1016/j.conbuildmat.2025.143667 · 2025 · External reference
An improved U-Net model for concrete crack detection[J]
2022 · External reference
Strategic SA-UNet: Integrating self-attention blocks into U-Net for efficient crack segmentation[J]
10.1371/journal.pone.0343162 · 2026 · External reference
Integrated pixel-level crack detection and quantification using an ensemble of advanced U-Net architectures[J]
2025 · External reference
Research on pavement crack detection algorithm based on deep residual U-Net neural network[J]
10.1088/1742-6596/2278/1/012020 · 2022 · External reference
Pixelwise asphalt concrete pavement crack detection via deep learning-based semantic segmentation method[J]
10.1002/stc.2974 · 2022 · External reference
A multi-scale residual encoding network for concrete crack segmentation[J]
2024 · External reference
RS-Net: residual sharp U-Net architecture for pavement crack segmentation and severity assessment[J]
10.1186/s40537-024-00981-y · 2024 · External reference
Automatic crack defect detection via multiscale feature aggregation and adaptive fusion[J]
10.1016/j.autcon.2024.105934 · 2025 · External reference
An attention-based progressive fusion network for pixelwise pavement crack detection[J]
10.1016/j.measurement.2024.114159 · 2024 · External reference
A lightweight feature attention fusion network for pavement crack segmentation[J]
10.1111/mice.13225 · 2024 · External reference
Selective feature fusion and irregular-aware network for pavement crack detection[J]
10.1109/tits.2023.3325989 · 2024 · External reference
DCUFormer: enhancing pavement crack segmentation in complex environments with dual-cross/upsampling attention[J]
10.1016/j.eswa.2024.125891 · 2025 · External reference
Crack detection and 3D visualization of crack distribution for UAV-based bridge inspection using efficient approaches[J]
10.1016/j.istruc.2025.109075 · 2025 · External reference
Improving infrastructure monitoring: UAV-based photogrammetry for crack pattern inspection[C]
2024 · External reference
Automated crack width measurement in 3D models: a photogrammetric approach with image selection[J]
10.3390/info16060448 · 2025 · External reference
Region of interest extraction and crack detection for UAV-based bridge inspection using point cloud segmentation and 3D-to-2D projection[J]
10.1016/j.autcon.2023.105226 · 2024 · External reference
A systematic approach to pixel-level crack detection and localization with a feature fusion attention network and 3D reconstruction[J]
10.1016/j.engstruct.2023.117219 · 2024 · External reference
Network for robust and high-accuracy pavement crack segmentation[J]
10.1016/j.autcon.2024.105375 · 2024 · External reference
10.1109/iccvw69036.2025.00114
10.1109/iccvw69036.2025.00114 · External reference
10.1109/icassp49357.2023.10096516
10.1109/icassp49357.2023.10096516 · External reference
10.1109/cvpr42600.2020.00406
10.1109/cvpr42600.2020.00406 · External reference
10.1109/cvpr.2018.00716
10.1109/cvpr.2018.00716 · External reference
Feature pyramid and hierarchical boosting network for pavement crack detection[J]
10.1109/tits.2019.2910595 · 2020 · External reference
DeepCrack: a deep hierarchical feature learning architecture for crack segmentation[J]
10.1016/j.neucom.2019.01.036 · 2019 · External reference
A survey on image data augmentation for deep learning[J]
10.1186/s40537-019-0197-0 · 2019 · External reference
CBAM: Convolutional block attention module[C]
2018 · External reference
10.1109/cvpr.2018.00745
10.1109/cvpr.2018.00745 · External reference
SegNet: a deep convolutional encoder-decoder architecture for image segmentation[J]
10.1109/tpami.2016.2644615 · 2017 · External reference
UNet++: a nested U-Net architecture for medical image segmentation[C]
2018 · External reference
Unresolved reference
External reference
UNeXt: MLP-based rapid medical image segmentation network[C]//Medical image Computing and Computer-Assisted intervention - MICCAI
2022 · External reference
TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers[J]
10.1016/j.media.2024.103280 · 2024 · External reference
Encoder-decoder with atrous separable convolution for semantic image segmentation[C]
2018 · External reference
10.1109/cvpr.2018.00474
10.1109/cvpr.2018.00474 · External reference
Image-based automated width measurement of surface cracking[J]
10.3390/s21227534 · 2021 · External reference
Image-based crack detection for real concrete surfaces[J]
10.1002/tee.20244 · 2008 · External reference
An image-based concrete-crack-width measurement method using skeleton pruning and the Edge-OrthoBoundary algorithm[J]
10.3390/buildings15142489 · 2025 · External reference
Crack detection of bridge concrete components based on large-scene images using an unmanned aerial vehicle[J]
10.3390/s23146271 · 2023 · External reference
Post-earthquake detection of surface spalling and cracks in masonry buildings based on computer vision[J]
10.1016/j.istruc.2025.109226 · 2025 · External reference
NIH image to ImageJ: 25 years of image analysis[J]
10.1038/nmeth.2089 · 2012 · External reference
Pixel-level concrete crack quantification through super resolution reconstruction and multi-modality fusion[J]
10.1016/j.aei.2025.103807 · 2026 · External reference
10.1109/cvpr.2016.445
10.1109/cvpr.2016.445 · External reference
Unresolved reference
2004 · External reference
Unresolved reference
2011 · External reference
Pixelwise asphalt concrete pavement crack detection via deep learning-based semantic segmentation method[J]
10.1002/stc.2974 · ExternalCitation · doi-reference
Image-based crack detection for real concrete surfaces[J]
10.1002/tee.20244 · ExternalCitation · doi-reference
Toward enhancing concrete crack segmentation accuracy under complex scenarios: a novel modified U-Net network[J]
10.1007/s11042-024-18568-3 · ExternalCitation · doi-reference
A review of image-based deep learning methods for crack detection[J]
10.1007/s11042-025-20729-x · ExternalCitation · doi-reference
Pixel-level concrete crack quantification through super resolution reconstruction and multi-modality fusion[J]
10.1016/j.aei.2025.103807 · ExternalCitation · doi-reference
Computer vision-based concrete crack detection using U-Net fully convolutional networks[J]
10.1016/j.autcon.2019.04.005 · ExternalCitation · doi-reference
Extended efficient convolutional neural network for concrete crack detection with illustrated merits[J]
10.1016/j.autcon.2023.105098 · ExternalCitation · doi-reference
Region of interest extraction and crack detection for UAV-based bridge inspection using point cloud segmentation and 3D-to-2D projection[J]
10.1016/j.autcon.2023.105226 · ExternalCitation · doi-reference
Network for robust and high-accuracy pavement crack segmentation[J]
10.1016/j.autcon.2024.105375 · ExternalCitation · doi-reference
Quantitative assessment of cracks in concrete structures using active-learning-integrated transformer and unmanned robotic platform[J]
10.1016/j.autcon.2024.105829 · ExternalCitation · doi-reference
Automatic crack defect detection via multiscale feature aggregation and adaptive fusion[J]
10.1016/j.autcon.2024.105934 · ExternalCitation · doi-reference
Review on computer vision-based crack detection and quantification methodologies for civil structures[J]
10.1016/j.conbuildmat.2022.129238 · ExternalCitation · doi-reference
A comparison study of semantic segmentation networks for crack detection in construction materials[J]
10.1016/j.conbuildmat.2024.134950 · ExternalCitation · doi-reference
Lightweight concrete crack segmentation network for drone image with complex backgrounds using multi-scale feature fusion and optimized architecture[J]
10.1016/j.conbuildmat.2025.143667 · ExternalCitation · doi-reference
Data-driven models for predicting tensile load capacity and failure mode of grouted splice sleeve connection[J]
10.1016/j.engstruct.2023.116236 · ExternalCitation · doi-reference
A systematic approach to pixel-level crack detection and localization with a feature fusion attention network and 3D reconstruction[J]
10.1016/j.engstruct.2023.117219 · ExternalCitation · doi-reference
DCUFormer: enhancing pavement crack segmentation in complex environments with dual-cross/upsampling attention[J]
10.1016/j.eswa.2024.125891 · ExternalCitation · doi-reference
On the crack characterization of reinforced concrete structures: Experimental and data-driven numerical study[J]
10.1016/j.istruc.2020.12.069 · ExternalCitation · doi-reference
Crack detection and 3D visualization of crack distribution for UAV-based bridge inspection using efficient approaches[J]
10.1016/j.istruc.2025.109075 · ExternalCitation · doi-reference
Post-earthquake detection of surface spalling and cracks in masonry buildings based on computer vision[J]
10.1016/j.istruc.2025.109226 · ExternalCitation · doi-reference
Automatic pixel-level pavement sealed crack detection using Multi-fusion U-Net network[J]
10.1016/j.measurement.2023.112475 · ExternalCitation · doi-reference
An attention-based progressive fusion network for pixelwise pavement crack detection[J]
10.1016/j.measurement.2024.114159 · ExternalCitation · doi-reference
Deep learning for surface crack detection in civil engineering: a comprehensive review[J]
10.1016/j.measurement.2025.116908 · ExternalCitation · doi-reference
TransUNet: Rethinking the U-Net architecture design for medical image segmentation through the lens of transformers[J]
10.1016/j.media.2024.103280 · ExternalCitation · doi-reference
DeepCrack: a deep hierarchical feature learning architecture for crack segmentation[J]
10.1016/j.neucom.2019.01.036 · ExternalCitation · doi-reference
NIH image to ImageJ: 25 years of image analysis[J]
10.1038/nmeth.2089 · ExternalCitation · doi-reference
Research on pavement crack detection algorithm based on deep residual U-Net neural network[J]
10.1088/1742-6596/2278/1/012020 · ExternalCitation · doi-reference
10.1109/cvpr.2016.445
10.1109/cvpr.2016.445 · ExternalCitation · doi-reference
10.1109/cvpr.2018.00474
10.1109/cvpr.2018.00474 · ExternalCitation · doi-reference
10.1109/cvpr.2018.00716
10.1109/cvpr.2018.00716 · ExternalCitation · doi-reference
10.1109/cvpr.2018.00745
10.1109/cvpr.2018.00745 · ExternalCitation · doi-reference
10.1109/cvpr42600.2020.00406
10.1109/cvpr42600.2020.00406 · ExternalCitation · doi-reference
10.1109/icassp49357.2023.10096516
10.1109/icassp49357.2023.10096516 · ExternalCitation · doi-reference
10.1109/iccvw69036.2025.00114
10.1109/iccvw69036.2025.00114 · ExternalCitation · doi-reference
10.1109/ivs.2019.8814000
10.1109/ivs.2019.8814000 · ExternalCitation · doi-reference
Feature pyramid and hierarchical boosting network for pavement crack detection[J]
10.1109/tits.2019.2910595 · ExternalCitation · doi-reference
Selective feature fusion and irregular-aware network for pavement crack detection[J]
10.1109/tits.2023.3325989 · ExternalCitation · doi-reference
Real-time pavement damage detection with damage shape adaptation[J]
10.1109/tits.2024.3416508 · ExternalCitation · doi-reference
SegNet: a deep convolutional encoder-decoder architecture for image segmentation[J]
10.1109/tpami.2016.2644615 · ExternalCitation · doi-reference
Automatic pixel-level crack detection and measurement using fully convolutional network[J]
10.1111/mice.12412 · ExternalCitation · doi-reference
Automatic detection method of tunnel lining multi-defects via an enhanced you only look once network[J]
10.1111/mice.12836 · ExternalCitation · doi-reference
A lightweight feature attention fusion network for pavement crack segmentation[J]
10.1111/mice.13225 · ExternalCitation · doi-reference
Crack and noncrack classification from concrete surface images using machine learning[J]
10.1177/1475921718768747 · ExternalCitation · doi-reference
A survey on image data augmentation for deep learning[J]
10.1186/s40537-019-0197-0 · ExternalCitation · doi-reference
RS-Net: residual sharp U-Net architecture for pavement crack segmentation and severity assessment[J]
10.1186/s40537-024-00981-y · ExternalCitation · doi-reference
Strategic SA-UNet: Integrating self-attention blocks into U-Net for efficient crack segmentation[J]
10.1371/journal.pone.0343162 · ExternalCitation · doi-reference
Crack detection on concrete surfaces using deep encoder-decoder convolutional neural network: a comparison study between U-Net and DeepLabV3+[J]
10.22146/jcef.65288 · ExternalCitation · doi-reference
An image-based concrete-crack-width measurement method using skeleton pruning and the Edge-OrthoBoundary algorithm[J]
10.3390/buildings15142489 · ExternalCitation · doi-reference
Review on durability deterioration and mitigation of concrete structures[J]
10.3390/coatings15090982 · ExternalCitation · doi-reference
Automated crack width measurement in 3D models: a photogrammetric approach with image selection[J]
10.3390/info16060448 · ExternalCitation · doi-reference
Enhanced intelligent identification of concrete cracks using multi-layered image preprocessing-aided convolutional neural networks[J]
10.3390/s20072021 · ExternalCitation · doi-reference
Image-based automated width measurement of surface cracking[J]
10.3390/s21227534 · ExternalCitation · doi-reference
Crack detection of bridge concrete components based on large-scene images using an unmanned aerial vehicle[J]
10.3390/s23146271 · ExternalCitation · doi-reference
Lightweight dual-attention network for concrete crack segmentation[J]
10.3390/s25144436 · ExternalCitation · doi-reference
