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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

8 February 2022
Jacob König
M. Jenkins
M. Mannion
P. Barrie
Gordon Morison
ArXivPDFHTML

Papers citing "What's Cracking? A Review and Analysis of Deep Learning Methods for Structural Crack Segmentation, Detection and Quantification"

3 / 3 papers shown
Title
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
15
5
0
09 Jan 2021
Disentangling Physical Dynamics from Unknown Factors for Unsupervised
  Video Prediction
Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction
Vincent Le Guen
Nicolas Thome
AI4CE
PINN
89
288
0
03 Mar 2020
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,637
0
02 Nov 2015
1