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An Embedded System for Image-based Crack Detection by using Fine-Tuning
  model of Adaptive Structural Learning of Deep Belief Network

An Embedded System for Image-based Crack Detection by using Fine-Tuning model of Adaptive Structural Learning of Deep Belief Network

25 October 2021
Shin Kamada
T. Ichimura
ArXivPDFHTML

Papers citing "An Embedded System for Image-based Crack Detection by using Fine-Tuning model of Adaptive Structural Learning of Deep Belief Network"

6 / 6 papers shown
Title
An Adaptive Structural Learning of Deep Belief Network for Image-based
  Crack Detection in Concrete Structures Using SDNET2018
An Adaptive Structural Learning of Deep Belief Network for Image-based Crack Detection in Concrete Structures Using SDNET2018
Shin Kamada
Zongjie Li
Shuai Wang
46
3
0
25 Oct 2021
An Adaptive Learning Method of Deep Belief Network by Layer Generation
  Algorithm
An Adaptive Learning Method of Deep Belief Network by Layer Generation Algorithm
Shin Kamada
T. Ichimura
15
30
0
10 Jul 2018
An Adaptive Learning Method of Restricted Boltzmann Machine by Neuron
  Generation and Annihilation Algorithm
An Adaptive Learning Method of Restricted Boltzmann Machine by Neuron Generation and Annihilation Algorithm
Shin Kamada
T. Ichimura
8
18
0
10 Jul 2018
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
866
192,638
0
10 Dec 2015
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
197
43,511
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
535
99,991
0
04 Sep 2014
1