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Optimized Deep Encoder-Decoder Methods for Crack Segmentation

Optimized Deep Encoder-Decoder Methods for Crack Segmentation

14 August 2020
Jacob König
M. Jenkins
M. Mannion
P. Barrie
Gordon Morison
ArXivPDFHTML

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

3 / 3 papers shown
Title
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
UQCV
MedIm
ViT
48
10
0
25 Apr 2023
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
33
6
0
02 Dec 2021
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
451
15,657
0
02 Nov 2015
1