A framework for synthetic image generation and augmentation for improving automatic sewer pipe defect detection

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

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

A unified convolutional neural network integrated with conditional random field for pipe defect segmentation

(2019) Mingzhu Wang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Underground sewer pipe condition assessment based on convolutional neural networks

(2019) Syed Ibrahim Hassan et al.   AUTOMATION IN CONSTRUCTION

Automatic Detection and Classification of Sewer Defects via Hierarchical Deep Learning

(2019) Qian Xie et al.   IEEE Transactions on Automation Science and Engineering

Deep Learning–Based Automated Detection of Sewer Defects in CCTV Videos

(2019) Srinath Shiv Kumar et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Transfer learning and deep convolutional neural networks for safety guardrail detection in 2D images

(2018) Zdenek Kolar et al.   AUTOMATION IN CONSTRUCTION

Automated defect classification in sewer closed circuit television inspections using deep convolutional neural networks

(2018) Srinath S. Kumar et al.   AUTOMATION IN CONSTRUCTION

Structural damage identification based on autoencoder neural networks and deep learning

(2018) Chathurdara Sri Nadith Pathirage et al.   ENGINEERING STRUCTURES

Generative Adversarial Networks: An Overview

(2018) Antonia Creswell et al.   IEEE SIGNAL PROCESSING MAGAZINE

Recognizing Diverse Construction Activities in Site Images via Relevance Networks of Construction-Related Objects Detected by Convolutional Neural Networks

(2018) Xiaochun Luo et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Automated detection of faults in sewers using CCTV image sequences

(2018) Joshua Myrans et al.   AUTOMATION IN CONSTRUCTION

Automated detection of sewer pipe defects in closed-circuit television images using deep learning techniques

(2018) Jack C.P. Cheng et al.   AUTOMATION IN CONSTRUCTION

Comparison of deep convolutional neural networks and edge detectors for image-based crack detection in concrete

(2018) Sattar Dorafshan et al.   CONSTRUCTION AND BUILDING MATERIALS

A Neural Algorithm of Artistic Style

(2016) Leon Gatys et al.   JOURNAL OF VISION

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Automated defect detection in sewer closed circuit television images using histograms of oriented gradients and support vector machine

(2013) Mahmoud R. Halfawy et al.   AUTOMATION IN CONSTRUCTION

The Pascal Visual Object Classes (VOC) Challenge

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