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Optimized Deep Encoder-Decoder Methods for Crack Segmentation
v1v2 (latest)

Optimized Deep Encoder-Decoder Methods for Crack Segmentation

14 August 2020
Jacob König
M. Jenkins
M. Mannion
P. Barrie
Gordon Morison
ArXiv (abs)PDFHTML

Papers citing "Optimized Deep Encoder-Decoder Methods for Crack Segmentation"

11 / 11 papers shown
Title
Hybrid-Segmentor: A Hybrid Approach to Automated Fine-Grained Crack
  Segmentation in Civil Infrastructure
Hybrid-Segmentor: A Hybrid Approach to Automated Fine-Grained Crack Segmentation in Civil Infrastructure
June Moh Goo
Xenios Milidonis
Alessandro Artusi
Jan Boehm
Carlo Ciliberto
59
6
0
04 Sep 2024
GATSBI: An Online GTSP-Based Algorithm for Targeted Surface Bridge
  Inspection and Defect Detection
GATSBI: An Online GTSP-Based Algorithm for Targeted Surface Bridge Inspection and Defect Detection
Harnaik Dhami
Charith Reddy
V. Sharma
Troi Williams
Pratap Tokekar
64
1
0
24 Jun 2024
Deep Learning for Segmentation of Cracks in High-Resolution Images of
  Steel Bridges
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
CrackNex: a Few-shot Low-light Crack Segmentation Model Based on Retinex
  Theory for UAV Inspections
CrackNex: a Few-shot Low-light Crack Segmentation Model Based on Retinex Theory for UAV Inspections
Zhen Yao
Jiawei Xu
Shuhang Hou
Mooi Choo Choo Chuah
83
11
0
05 Mar 2024
Road Surface Defect Detection -- From Image-based to Non-image-based: A
  Survey
Road Surface Defect Detection -- From Image-based to Non-image-based: A Survey
Jongmin Yu
Jiaqi Jiang
S. Fichera
Paolo Paoletti
Lisa Layzell
Devansh Mehta
Shan Luo
54
12
0
06 Feb 2024
Detection of Pavement Cracks by Deep Learning Models of Transformer and
  UNet
Detection of Pavement Cracks by Deep Learning Models of Transformer and UNet
Yu Zhang
Lin Zhang
UQCVMedImViT
74
10
0
25 Apr 2023
Optimized Hybrid Focal Margin Loss for Crack Segmentation
Optimized Hybrid Focal Margin Loss for Crack Segmentation
Jiajie Chen
52
1
0
09 Feb 2023
CrackSeg9k: A Collection and Benchmark for Crack Segmentation Datasets
  and Frameworks
CrackSeg9k: A Collection and Benchmark for Crack Segmentation Datasets and Frameworks
Shreyas Kulkarni
Shreyas Singh
Dhananjay Balakrishnan
Siddharth Sharma
Saipraneeth Devunuri
Sai Chowdeswara Rao Korlapati
61
36
0
27 Aug 2022
What's Cracking? A Review and Analysis of Deep Learning Methods for
  Structural Crack Segmentation, Detection and Quantification
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
SCNet: A Generalized Attention-based Model for Crack Fault Segmentation
SCNet: A Generalized Attention-based Model for Crack Fault Segmentation
Hrishikesh Sharma
Pandaba Pradhan
P. Balamuralidhar
67
6
0
02 Dec 2021
Weakly-Supervised Surface Crack Segmentation by Generating Pseudo-Labels
  using Localization with a Classifier and Thresholding
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
1