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

Research and applications of artificial neural network in pavement engineering: A state-of-the-art review

(2021) Xu Yang et al.   Journal of Traffic and Transportation Engineering-English Edition

Multi-level feature fusion in densely connected deep-learning architecture and depth-first search for crack segmentation on images collected with smartphones

(2020) Qipei Mei et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Integrating three-dimensional road design and pavement structure analysis based on BIM

(2020) Fanlong Tang et al.   AUTOMATION IN CONSTRUCTION

CrackU-net: A novel deep convolutional neural network for pixelwise pavement crack detection

(2020) Ju Huyan et al.   Structural Control & Health Monitoring

Automated pavement crack detection and segmentation based on two‐step convolutional neural network

(2020) Jingwei Liu et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Quantitative analysis and visual presentation of segregation in asphalt mixture based on image processing and BIM

(2020) Fanlong Tang et al.   AUTOMATION IN CONSTRUCTION

Multisignal VGG19 Network with Transposed Convolution for Rotating Machinery Fault Diagnosis Based on Deep Transfer Learning

(2020) Jianye Zhou et al.   SHOCK AND VIBRATION

The State-of-the-Art Review on Applications of Intrusive Sensing, Image Processing Techniques, and Machine Learning Methods in Pavement Monitoring and Analysis

(2020) Yue Hou et al.   Engineering

Trimmed categorical cross-entropy for deep learning with label noise

(2019) A. Rusiecki   ELECTRONICS LETTERS

Patch-Based Crack Detection in Black Box Images Using Convolutional Neural Networks

(2019) Somin Park et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

DenseNet with Up-Sampling block for recognizing texts in images

(2019) Zeming Tang et al.   NEURAL COMPUTING & APPLICATIONS

Parametric modeling and structure verification of asphalt pavement based on BIM-ABAQUS

(2019) Fanlong Tang et al.   AUTOMATION IN CONSTRUCTION

Densely connected deep neural network considering connectivity of pixels for automatic crack detection

(2019) Qipei Mei et al.   AUTOMATION IN CONSTRUCTION

Robust twin support vector regression based on Huber loss function

(2019) S. Balasundaram et al.   NEURAL COMPUTING & APPLICATIONS

Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection

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

Application of Hyperspectral Image Classification Based on Overlap Pooling

(2018) Hongmin Gao et al.   NEURAL PROCESSING LETTERS

Pixel-level crack delineation in images with convolutional feature fusion

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

Fully Convolutional Networks for Semantic Segmentation

(2017) Evan Shelhamer et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

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

Automatic Pavement-Crack Detection and Segmentation Based on Steerable Matched Filtering and an Active Contour Model

(2017) Shuai Li et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

The Pascal Visual Object Classes Challenge: A Retrospective

(2014) Mark Everingham et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Visual Tracking Using Max-Average Pooling and Weight-Selection Strategy

(2014) Suguo Zhu et al.   Journal of Applied Mathematics

Parallelization of cellular neural networks on GPU

(2008) Tze-Yui Ho et al.   PATTERN RECOGNITION