Autonomous concrete crack detection using deep fully convolutional neural network

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Toward enhancing concrete crack segmentation accuracy under complex scenarios: a novel modified U-Net network

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Drone-Based Wall Crack Detection Using Model-Agnostic Meta-Learning

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Advanced Crack Detection in Reinforced Autoclaved Aerated Concrete Using Generative Data Augmentation and Enhanced Segmentation

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Automated Crack Width Measurement in 3D Models: A Photogrammetric Approach with Image Selection

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Embedded Sensing in Additive Manufacturing Metal and Polymer Parts: A Comparative Study of Integration Techniques and Structural Health Monitoring Performance

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Tunnel Lining Crack Recognition Algorithm Integrating SK Attention and Cascade Neural Network

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Multi-band Feature Images Concrete Crack Segmentation Framework Using Deep Learning

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A novel deep learning‐based technique for efficient characterization of engineered cementitious composites cracks for durability assessment

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An Optimized Intelligent Segmentation Algorithm for Concrete Cracks Based on Transformer

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A structural damage ranking using ConvNeXt for post-earthquake image classification

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Semantic Recognition and Location of Cracks by Fusing Cracks Segmentation and Deep Learning

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Assessing surface drainage conditions at the street and neighborhood scale: A computer vision and flow direction method applied to lidar data

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A Modified U-Net Architecture for Road Surfaces Cracks Detection

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Fast Attention CNN for Fine-Grained Crack Segmentation

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CLASSIFICATION AND COMPUTING THE DEFECTED AREA OF KNOTS IN WOODEN STRUCTURES USING IMAGE PROCESSING AND CNN

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Crack Detection of Curved Surface Structure Based on Multi-Image Stitching Method

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The multichannel integration active contour framework for crack detection

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Deep Learning Framework for Total Stress Detection of Steel Components

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Autonomous Road Pavement Inspection and Defect Analysis for Smart City Maintenance

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A surface cracks detection method for nuclear fuel pellets using an improved fully convolutional network

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Kernelized dynamic convolution routing in spatial and channel interaction for attentive concrete defect recognition

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Detection and Length Measurement of Cracks Captured in Low Definitions Using Convolutional Neural Networks

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A Study of Supervised Combined Neural-Network-Based Ultrasonic Method for Reconstruction of the Spatial Distribution of Material Properties

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Intelligent Crack Detection in Infrastructure Using Computer Vision at the Edge

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Assessment of Cracking Development in Concrete Precast Crane Beams Using Optical and Deep Learning Methods

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A performance-driven evaluation of deep learning for concrete crack detection with varying dataset sizes and training epochs: real-world implications for infrastructure monitoring

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Magnetic resonance eddy current testing imaging and non-destructive evaluation of rebar in concrete

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Controllable reference-based semantic crack-image generation using diffusion model for intelligent infrastructure inspection

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An artificial intelligence approach to detection and assessment of concrete cracks based on visual inspection photographs

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Self-attention-Based Efficient U-Net for Crack Segmentation

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Crack segmentation in the wild using convolutional neural networks and bootstrapping

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A Lightweight Network with Dual Encoder and Cross Feature Fusion for Cement Pavement Crack Detection

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Improving Infrastructure Monitoring: UAV-Based Photogrammetry for Crack Pattern Inspection

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PRAPNet: A Parallel Residual Atrous Pyramid Network for Polyp Segmentation

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Fusion of optimal cross-stage partial net with context-aware segmentation for enhanced damage detection in civil infrastructures using thermal images

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Crack Detection Based on Gaussian Mixture Model using Image Filtering

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Pavement Crack Detection Using Multi-stage Structural Feature Extraction Model

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Crack Detection Method of Sleeper Based on Cascade Convolutional Neural Network

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Asymmetric exponential loss function for crack segmentation

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Computer Vision

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Crack Assessment Using Cascade Mask R-CNN and Dilation–Erosion Processing Technique

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SAFE-Net: Multi-head attention enhanced framework for defect detection in anti-corrosion coatings on steel structures

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Pavement Crack Segmentation Based on Synthetic Data Sets and Unsupervised Domain Adaptation

Zhang, H., Feng, J., Dai, C., & Tong, Z. (2025) · Journal of Computing in Civil Engineering · doi:10.1061/jccee5.cpeng-6675 · Cited by 4

Key Technologies for Intelligent Construction and Smart Operation and Maintenance of Large-Scale Hydraulic Tunnels

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Adaptive deep learning framework for crack contour recognition and dimensional measurement in concrete structures

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CLGDS: robust bridge crack detection with YOLO enhanced feature fusion and SIoU optimization

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Performance Analysis of Structural Defect Classification Applied to Concrete Cracks Using Light-Weight Machine Learning Models

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Leveraging Public Safety and Enhancing Crack Detection in Concrete Bridges using Deep Convolutional Neural Networks

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Adaptive and Explainable Deep Learning-Based Rapid Identification of Architectural Cracks

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Automating Postearthquake Recovery in Construction: Leveraging BIM, Deep Learning, and Web Map Services for Efficient Solutions

Oktavianus, A., Chen, P., Lin, J. J., & Chang, L. (2025) · Journal of Computing in Civil Engineering · doi:10.1061/jccee5.cpeng-6142 · Cited by 4

Enhanced Ground Fissure Detection in Mining Areas Based on Visible–Infrared Image Fusion and YOLOv5

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Deep crack segmentation: a semi-supervised approach with coordinate attention and adaptive loss

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Transformer‐based crack segmentation for concrete structures in complex scenarios

Wang, W., & Su, C. (2025) · Structural Concrete · doi:10.1002/suco.70129 · Cited by 4

Research on Intelligent Predictions of Surrounding Rock Ahead of the Tunnel Face Based on Neural Network and Longitudinal Deformation Curve

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Pixel-level bridge crack detection and 3D localization: An improved hybrid approach combining segmentation and 3D reconstruction

Yang, F. (2025) · Structures · doi:10.1016/j.istruc.2025.110611 · Cited by 4

Algorithm for the Detection of Thin Strip-Shaped Structural Small Diseases on Airport Pavement based on improved pyramid and feature fusion

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An Unsupervised Concrete Crack Detection Method Based on nnU-Net

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Euclidean Graphs as Crack Pattern Descriptors for Automated Crack Analysis in Digital Images

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A Deep Convolutional Neural Network Based Approach to Classify and Detect Crack in Concrete Surface Using Xception

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Semantic segmentation of pavement cracks based on an improved U-Net

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Research on Real-Time Detection Algorithm for Pavement Cracks Based on SparseInst-CDSM

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Automated Defective Ceramic Tiles Classification using Image Processing Techniques

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A Deep Learning-Based Image Captioning for Automated Description of Structural Components Condition

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Evaluation method for the intactness of tunnel face surrounding rock based on tunnel face images

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INTELLIGENT DETECTION OF CONCRETE APPARENT DEFECTS BASED ON A DEEP LEARNING - LITERATURE REVIEW, KNOWLEDGE GAPS AND FUTURE DEVELOPMENTS

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