ResearchTrend.AI
Deep Learning Approaches in Pavement Distress Identification: A Review

Deep Learning Approaches in Pavement Distress Identification: A Review

Sizhe Guan
Hao Liu
H. Pourreza
H. Mahyar
ArXivPDFHTML

Papers citing "Deep Learning Approaches in Pavement Distress Identification: A Review"

5 / 5 papers shown
Title
Road Crack Detection Using Deep Convolutional Neural Network and Adaptive Thresholding
Road Crack Detection Using Deep Convolutional Neural Network and Adaptive Thresholding
Rui Fan
M. J. Bocus
Yilong Zhu
Jianhao Jiao
Li Wang
Fulong Ma
Shanshan Cheng
Meilin Liu
78
522
0
18 Apr 2019
Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection
Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection
Fan Yang
Lei Zhang
Sijia Yu
Danil Prokhorov
Xue Mei
Haibin Ling
45
712
0
18 Jan 2019
Automatic Pavement Crack Detection Based on Structured Prediction with the Convolutional Neural Network
Automatic Pavement Crack Detection Based on Structured Prediction with the Convolutional Neural Network
Zhun Fan
Yuming Wu
Jiewei Lu
Wenji Li
46
235
0
01 Feb 2018
Rethinking Atrous Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
225
8,470
0
17 Jun 2017
Pyramid Scene Parsing Network
Pyramid Scene Parsing Network
Hengshuang Zhao
Jianping Shi
Xiaojuan Qi
Xiaogang Wang
Jiaya Jia
VOS
SSeg
658
12,003
0
04 Dec 2016

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.