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Deep Learning-Based Concrete Surface Damage Monitoring Method Using Structured Lights and Depth Camera

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A UAV-based machine vision method for bridge crack recognition and width quantification through hybrid feature learning

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An automatic assessment of road condition from aerial imagery using modified VGG architecture in faster-RCNN framework

(2021) A. Malini et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

Automatic road crack detection and classification using multi-tasking faster RCNN

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Benchmarks for higher-order modes evaluation in the free vibration response of open thin-walled beams due to the cross-sectional deformations

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Automatic identification and quantification of dense microcracks in high-performance fiber-reinforced cementitious composites through deep learning-based computer vision

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Systematic literature review of validation methods for AI systems

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Laser-based intelligent perception method for tunnel invasion

(2021) Hao Yang et al.   MECHANICS OF ADVANCED MATERIALS AND STRUCTURES

CrackW-Net: A Novel Pavement Crack Image Segmentation Convolutional Neural Network

(2021) Chengjia Han et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Crack Detection and Segmentation Using Deep Learning with 3D Reality Mesh Model for Quantitative Assessment and Integrated Visualization

(2020) Rony Kalfarisi et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Applying deep convolutional neural network with 3D reality mesh model for water tank crack detection and evaluation

(2020) Z. Y. Wu et al.   Urban Water Journal

Research on Crack Segmentation Method of Hydro-Junction Project Based on Target Detection Network

(2020) Jie Pang et al.   KSCE Journal of Civil Engineering

Vision Measurement of Tunnel Structures with Robust Modelling and Deep Learning Algorithms

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Automatic defect detection of metro tunnel surfaces using a vision-based inspection system

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Image‐based concrete crack assessment using mask and region‐based convolutional neural network

(2019) Byunghyun Kim et al.   Structural Control & Health Monitoring

Detection of sealed and unsealed cracks with complex backgrounds using deep convolutional neural network

(2019) Ju Huyan et al.   AUTOMATION IN CONSTRUCTION

Pothole Detection Using Computer Vision and Learning

(2019) Amita Dhiman et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

New Crack Detection Method for Bridge Inspection Using UAV Incorporating Image Processing

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Classification of Asphalt Pavement Cracks Using Laplacian Pyramid-Based Image Processing and a Hybrid Computational Approach

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Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

(2017) Shaoqing Ren et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Beamlet Transform-Based Technique for Pavement Crack Detection and Classification

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