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Deep DIC: Deep Learning-Based Digital Image Correlation for End-to-End
  Displacement and Strain Measurement

Deep DIC: Deep Learning-Based Digital Image Correlation for End-to-End Displacement and Strain Measurement

26 October 2021
Ru Yang
Yang Li
D. Zeng
Ping Guo
ArXivPDFHTML

Papers citing "Deep DIC: Deep Learning-Based Digital Image Correlation for End-to-End Displacement and Strain Measurement"

3 / 3 papers shown
Title
Peridynamic Neural Operators: A Data-Driven Nonlocal Constitutive Model
  for Complex Material Responses
Peridynamic Neural Operators: A Data-Driven Nonlocal Constitutive Model for Complex Material Responses
S. Jafarzadeh
Stewart Silling
Ning Liu
Zhongqiang Zhang
Yue Yu
AI4CE
32
16
0
11 Jan 2024
PS-FCN: A Flexible Learning Framework for Photometric Stereo
PS-FCN: A Flexible Learning Framework for Photometric Stereo
Guanying Chen
Kai Han
Kwan-Yee K. Wong
51
134
0
23 Jul 2018
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
15,639
0
02 Nov 2015
1