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

1 February 2018

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

34 / 34 papers shown

Title
RDD4D: 4D Attention-Guided Road Damage Detection And Classification Asma Alkalbani Muhammad Saqib Ahmed Salim Alrawahi A. Anwar Chandarnath Adak Saeed Anwar 76 2 0 07 Jan 2025
Pavement Fatigue Crack Detection and Severity Classification Based on Convolutional Neural Network Zhen Wang Dylan G. Ildefonzo Linbing Wang 23 0 0 22 Jul 2024
Deep Learning for Segmentation of Cracks in High-Resolution Images of Steel Bridges Andrii Kompanets Gautam Pai R. Duits Davide Leonetti Bert Snijder 73 1 0 26 Mar 2024
CrackCLF: Automatic Pavement Crack Detection based on Closed-Loop Feedback Chong Li Zhun Fan Ying Chen Huibiao Lin Laura Moretti G. Loprencipe Weihua Sheng Kelvin C. P. Wang 43 8 0 20 Nov 2023
Deep Learning Approaches in Pavement Distress Identification: A Review Sizhe Guan Hao Liu H. Pourreza H. Mahyar 56 3 0 01 Aug 2023
A Computer Vision Enabled damage detection model with improved YOLOv5 based on Transformer Prediction Head Anisha Roy Jayabrata Bhaduri 79 11 0 07 Mar 2023
B-BACN: Bayesian Boundary-Aware Convolutional Network for Crack Characterization R. Rathnakumar Yutian Pang Yongming Liu 67 8 0 14 Feb 2023
Neuro-DynaStress: Predicting Dynamic Stress Distributions in Structural Components H. Bolandi Gautam Sreekumar Xuyang Li N. Lajnef Vishnu Boddeti AI4CE 10 2 0 19 Dec 2022
PicT: A Slim Weakly Supervised Vision Transformer for Pavement Distress Classification Wenhao Tang Shengyue Huang Xiaoxian Zhang Luwen Huangfu ViT 69 3 0 21 Sep 2022
Image-based Detection of Surface Defects in Concrete during Construction Dominik Kuhnke Monika Kwiatkowski Olaf Hellwich 37 1 0 03 Aug 2022
RHA-Net: An Encoder-Decoder Network with Residual Blocks and Hybrid Attention Mechanisms for Pavement Crack Segmentation Guijie Zhu Zhun Fan Jiacheng Liu Duan Yuan Peili Ma Meihua Wang Weihua Sheng Kelvin C. P. Wang 32 8 0 28 Jul 2022
Weakly-Supervised Crack Detection Yuki Inoue Hiroto Nagayoshi 47 9 0 14 Jun 2022
NHA12D: A New Pavement Crack Dataset and a Comparison Study Of Crack Detection Algorithms Zhening Huang Weiwei Chen A. Al-Tabbaa I. Brilakis 21 12 0 02 May 2022
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 121 9 0 31 Mar 2022
What's Cracking? A Review and Analysis of Deep Learning Methods for Structural Crack Segmentation, Detection and Quantification Jacob König M. Jenkins M. Mannion P. Barrie Gordon Morison 100 14 0 08 Feb 2022
Weakly-Supervised Surface Crack Segmentation by Generating Pseudo-Labels using Localization with a Classifier and Thresholding Jacob König M. Jenkins M. Mannion P. Barrie Gordon Morison 79 24 0 01 Sep 2021
Fast and Accurate Road Crack Detection Based on Adaptive Cost-Sensitive Loss Function Kai Li Bo Wang Ying-jie Tian Zhiquan Qi 57 47 0 29 Jun 2021
Pushing the Envelope of Thin Crack Detection Liang Xu Taro Hatsutani Xing Liu Engkarat Techapanurak Han Zou Takayuki Okatani 98 5 0 09 Jan 2021
Advances in deep learning methods for pavement surface crack detection and identification with visible light visual images Kai-Di Lu 45 6 0 29 Dec 2020
Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack Detectors Yuki Inoue Hiroto Nagayoshi 124 15 0 04 Nov 2020
Deep Learning Frameworks for Pavement Distress Classification: A Comparative Analysis Vishal Mandal Abdul Rashid Mussah Y. Adu-Gyamfi 48 53 0 21 Oct 2020
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 53 75 0 30 Aug 2020
Optimized Deep Encoder-Decoder Methods for Crack Segmentation Jacob König M. Jenkins M. Mannion P. Barrie Gordon Morison 57 82 0 14 Aug 2020
Automatic Crack Detection on Road Pavements Using Encoder Decoder Architecture Zhun Fan Chong Li Ying Chen Jiahong Wei G. Loprencipe Xiaopeng Chen P. D. Mascio 31 121 0 01 Jul 2020
An Iteratively Optimized Patch Label Inference Network for Automatic Pavement Distress Detection Wenhao Tang Sheng Huang Qiming Zhao Ren Li Luwen Huangfu 101 42 0 27 May 2020
Deep Machine Learning Approach to Develop a New Asphalt Pavement Condition Index H. Majidifard Y. Adu-Gyamfi W. Buttlar 35 199 0 28 Apr 2020
Ensemble of Deep Convolutional Neural Networks for Automatic Pavement Crack Detection and Measurement Zhun Fan Chong Li Ying Chen P. D. Mascio Xiaopeng Chen Guijie Zhu G. Loprencipe 45 125 0 08 Feb 2020
A Deep Neural Networks Approach for Pixel-Level Runway Pavement Crack Segmentation Using Drone-Captured Images Liming Jiang Yuanchang Xie Tianzhu Ren SSeg 48 21 0 09 Jan 2020
Automated Pavement Crack Segmentation Using U-Net-based Convolutional Neural Network Stephen L. H. Lau Xin Wang Yang Xu Edwin K. P. Chong SSeg 31 8 0 07 Jan 2020
AnoNet: Weakly Supervised Anomaly Detection in Textured Surfaces Manpreet Singh Minhas John S. Zelek 11 3 0 24 Nov 2019
Pavement Image Datasets: A New Benchmark Dataset to Classify and Densify Pavement Distresses H. Majidifard Peng Jin Y. Adu-Gyamfi W. Buttlar 59 134 0 20 Oct 2019
FPCNet: Fast Pavement Crack Detection Network Based on Encoder-Decoder Architecture Wenjun Liu Yuchun Huang Ying Li Qi Chen 30 46 0 04 Jul 2019
Image-based reconstruction for the impact problems by using DPNNs Yu Li Hu Wang Wenquan Shuai Honghao Zhang Yong Peng AI4CE 30 0 0 08 Apr 2019
Road Damage Detection Using Deep Neural Networks with Images Captured Through a Smartphone Hiroya Maeda Y. Sekimoto Toshikazu Seto Takehiro Kashiyama Hiroshi Omata 65 679 0 29 Jan 2018