A deep learning approach for real-time rebar counting on the construction site based on YOLOv3 detector

Deep learning for site safety: Real-time detection of personal protective equipment

(2020) Nipun D. Nath et al.   AUTOMATION IN CONSTRUCTION

Automatic pixel-level multiple damage detection of concrete structure using fully convolutional network

(2019) Shengyuan Li et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Computer vision-based concrete crack detection using U-net fully convolutional networks

(2019) Zhenqing Liu et al.   AUTOMATION IN CONSTRUCTION

Automatic detection of hardhats worn by construction personnel: A deep learning approach and benchmark dataset

(2019) Jixiu Wu et al.   AUTOMATION IN CONSTRUCTION

Concrete bridge surface damage detection using a single‐stage detector

(2019) Chaobo Zhang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection

(2019) Fan Yang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Deep Transfer Learning for Image-Based Structural Damage Recognition

(2018) Yuqing Gao et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Machine learning-based automatic reinforcing bar image analysis system in the internet of things

(2018) Jae Hwan Lee et al.   MULTIMEDIA TOOLS AND APPLICATIONS

Surface fatigue crack identification in steel box girder of bridges by a deep fusion convolutional neural network based on consumer-grade camera images

(2018) Yang Xu et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Object Detection in Very High-Resolution Aerial Images Using One-Stage Densely Connected Feature Pyramid Network

(2018) Hilal Tayara et al.   SENSORS

Pixel-level crack delineation in images with convolutional feature fusion

(2018) FuTao Ni et al.   Structural Control & Health Monitoring

Autonomous concrete crack detection using deep fully convolutional neural network

(2018) Cao Vu Dung et al.   AUTOMATION IN CONSTRUCTION

Detection of construction workers under varying poses and changing background in image sequences via very deep residual networks

(2018) Hyojoo Son et al.   AUTOMATION IN CONSTRUCTION

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

(2012) Geoffrey Hinton et al.   IEEE SIGNAL PROCESSING MAGAZINE

The Pascal Visual Object Classes (VOC) Challenge

(2009) Mark Everingham et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION