Automatic damage segmentation in pavement videos by fusing similar feature extraction siamese network (SFE-SNet) and pavement damage segmentation capsule network (PDS-CapsNet)

An encoder-decoder deep learning method for multi-class object segmentation from 3D tunnel point clouds

(2022) Ankang Ji et al.   AUTOMATION IN CONSTRUCTION

Road damage detection using super-resolution and semi-supervised learning with generative adversarial network

(2022) Seungbo Shim et al.   AUTOMATION IN CONSTRUCTION

Recognition of void defects in airport runways using ground-penetrating radar and shallow CNN

(2022) Jun Zhang et al.   AUTOMATION IN CONSTRUCTION

Automated asphalt pavement damage rate detection based on optimized GA-CNN

(2022) Jiale Li et al.   AUTOMATION IN CONSTRUCTION

Deep learning and infrared thermography for asphalt pavement crack severity classification

(2022) Fangyu Liu et al.   AUTOMATION IN CONSTRUCTION

Automatic Detection and Counting System for Pavement Cracks Based on PCGAN and YOLO-MF

(2022) Duo Ma et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Predicting pavement condition index using artificial neural networks approach

(2021) Amjad Issa et al.   Ain Shams Engineering Journal

Automated pixel-level pavement distress detection based on stereo vision and deep learning

(2021) Jinchao Guan et al.   AUTOMATION IN CONSTRUCTION

Deep Learning-Based Real-Time Crack Segmentation for Pavement Images

(2021) Wenjun Wang et al.   KSCE Journal of Civil Engineering

Automated semantic segmentation of industrial point clouds using ResPointNet++

(2021) Chao Yin et al.   AUTOMATION IN CONSTRUCTION

Multiple-Object Detection and Segmentation Based on Deep Learning in High-Resolution Video Using Mask-RCNN

(2021) Shaikh Shakil Abdul Rajjak et al.   INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE

Automatic recognition and analysis system of asphalt pavement cracks using interleaved low-rank group convolution hybrid deep network and SegNet fusing dense condition random field

(2020) Gang Li et al.   MEASUREMENT

MobileCrack: Object Classification in Asphalt Pavements Using an Adaptive Lightweight Deep Learning

(2020) Yue Hou et al.   Journal of Transportation Engineering Part B-Pavements

Lucid Data Dreaming for Video Object Segmentation

(2019) Anna Khoreva et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Pixel-Level Cracking Detection on 3D Asphalt Pavement Images Through Deep-Learning- Based CrackNet-V

(2019) Yue Fei et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Video Object Segmentation Without Temporal Information

(2018) Kevis-Kokitsi Maninis et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

(2018) Liang-Chieh Chen et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Pothole Detection and Classification Using 3D Technology and Watershed Method

(2018) Yi-Chang (James) Tsai et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Automatic Pixel-Level Crack Detection and Measurement Using Fully Convolutional Network

(2018) Xincong Yang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Autonomous concrete crack detection using deep fully convolutional neural network

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

A Specified Procedure for Distress Identification and Assessment for Urban Road Surfaces Based on PCI

(2017) et al.   Coatings

Segmentation and recognition of roadway assets from car-mounted camera video streams using a scalable non-parametric image parsing method

(2015) Vahid Balali et al.   AUTOMATION IN CONSTRUCTION