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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

4 November 2020
Yuki Inoue
Hiroto Nagayoshi
ArXiv (abs)PDFHTMLGithub (17★)

Papers citing "Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack Detectors"

5 / 5 papers shown
Deep Learning for Crack Detection: A Review of Learning Paradigms, Generalizability, and Datasets
Deep Learning for Crack Detection: A Review of Learning Paradigms, Generalizability, and Datasets
Xinan Zhang
Haolin Wang
Yung-An Hsieh
Zhongyu Yang
Anthony Yezzi
Y. Tsai
245
1
0
14 Aug 2025
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
Erfaun Noorani
242
2
0
24 Jun 2024
Weakly-Supervised Crack Detection
Weakly-Supervised Crack Detection
Yuki Inoue
Hiroto Nagayoshi
161
17
0
14 Jun 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
330
19
0
08 Feb 2022
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
233
39
0
01 Sep 2021
1
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