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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

1 February 2018
Zhun Fan
Yuming Wu
Jiewei Lu
Wenji Li
ArXivPDFHTML

Papers citing "Automatic Pavement Crack Detection Based on Structured Prediction with the Convolutional Neural Network"

13 / 13 papers shown
Title
RDD4D: 4D Attention-Guided Road Damage Detection And Classification
RDD4D: 4D Attention-Guided Road Damage Detection And Classification
Asma Alkalbani
Muhammad Saqib
Ahmed Salim Alrawahi
A. Anwar
Chandarnath Adak
Saeed Anwar
54
1
0
07 Jan 2025
PicT: A Slim Weakly Supervised Vision Transformer for Pavement Distress
  Classification
PicT: A Slim Weakly Supervised Vision Transformer for Pavement Distress Classification
Wenhao Tang
Shengyue Huang
Xiaoxian Zhang
Luwen Huangfu
ViT
47
2
0
21 Sep 2022
Image-based Detection of Surface Defects in Concrete during Construction
Image-based Detection of Surface Defects in Concrete during Construction
Dominik Kuhnke
Monika Kwiatkowski
Olaf Hellwich
30
0
0
03 Aug 2022
Weakly Supervised Patch Label Inference Networks for Efficient Pavement
  Distress Detection and Recognition in the Wild
Weakly Supervised Patch Label Inference Networks for Efficient Pavement Distress Detection and Recognition in the Wild
Sheng Huang
Wenhao Tang
Guixin Huang
Luwen Huangfu
Dan Yang
50
8
0
31 Mar 2022
Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive
  Loss Function
Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive Loss Function
Kai Li
Bo Wang
Ying-jie Tian
Zhiquan Qi
26
44
0
29 Jun 2021
Pushing the Envelope of Thin Crack Detection
Pushing the Envelope of Thin Crack Detection
Liang Xu
Taro Hatsutani
Xing Liu
Engkarat Techapanurak
Han Zou
Takayuki Okatani
43
5
0
09 Jan 2021
Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less
  Annotation-Intensive Crack Detectors
Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack Detectors
Yuki Inoue
Hiroto Nagayoshi
46
15
0
04 Nov 2020
Deep Learning Frameworks for Pavement Distress Classification: A
  Comparative Analysis
Deep Learning Frameworks for Pavement Distress Classification: A Comparative Analysis
Vishal Mandal
Abdul Rashid Mussah
Y. Adu-Gyamfi
29
53
0
21 Oct 2020
Transfer Learning-based Road Damage Detection for Multiple Countries
Transfer Learning-based Road Damage Detection for Multiple Countries
Deeksha M. Arya
Hiroya Maeda
S. Ghosh
Durga Toshniwal
A. Mraz
Takehiro Kashiyama
Yoshihide Sekimoto Indian Institute of Technology Roorkee
32
74
0
30 Aug 2020
An Iteratively Optimized Patch Label Inference Network for Automatic
  Pavement Distress Detection
An Iteratively Optimized Patch Label Inference Network for Automatic Pavement Distress Detection
Wenhao Tang
Sheng Huang
Qiming Zhao
Ren Li
Luwen Huangfu
35
41
0
27 May 2020
Deep Machine Learning Approach to Develop a New Asphalt Pavement
  Condition Index
Deep Machine Learning Approach to Develop a New Asphalt Pavement Condition Index
H. Majidifard
Y. Adu-Gyamfi
W. Buttlar
11
194
0
28 Apr 2020
Pavement Image Datasets: A New Benchmark Dataset to Classify and Densify
  Pavement Distresses
Pavement Image Datasets: A New Benchmark Dataset to Classify and Densify Pavement Distresses
H. Majidifard
Peng Jin
Y. Adu-Gyamfi
W. Buttlar
27
131
0
20 Oct 2019
Road Damage Detection Using Deep Neural Networks with Images Captured
  Through a Smartphone
Road Damage Detection Using Deep Neural Networks with Images Captured Through a Smartphone
Hiroya Maeda
Y. Sekimoto
Toshikazu Seto
Takehiro Kashiyama
Hiroshi Omata
25
668
0
29 Jan 2018
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