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Deep Convolutional Neural Networks with Zero-Padding: Feature Extraction
  and Learning

Deep Convolutional Neural Networks with Zero-Padding: Feature Extraction and Learning

30 July 2023
Zhixiong Han
Baichen Liu
Shao-Bo Lin
Ding-Xuan Zhou
ArXivPDFHTML

Papers citing "Deep Convolutional Neural Networks with Zero-Padding: Feature Extraction and Learning"

6 / 6 papers shown
Title
On Translation Invariance in CNNs: Convolutional Layers can Exploit
  Absolute Spatial Location
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location
O. Kayhan
Jan van Gemert
278
234
0
16 Mar 2020
Equivalence of approximation by convolutional neural networks and
  fully-connected networks
Equivalence of approximation by convolutional neural networks and fully-connected networks
P. Petersen
Felix Voigtländer
31
78
0
04 Sep 2018
Universality of Deep Convolutional Neural Networks
Universality of Deep Convolutional Neural Networks
Ding-Xuan Zhou
HAI
PINN
136
513
0
28 May 2018
Recent Advances in Convolutional Neural Networks
Recent Advances in Convolutional Neural Networks
Jiuxiang Gu
Zhenhua Wang
Jason Kuen
Lianyang Ma
Amir Shahroudy
...
Xingxing Wang
Li Wang
Gang Wang
Jianfei Cai
Tsuhan Chen
94
5,172
0
22 Dec 2015
Provable approximation properties for deep neural networks
Provable approximation properties for deep neural networks
Uri Shaham
A. Cloninger
Ronald R. Coifman
60
230
0
24 Sep 2015
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
121
12,384
0
24 Jun 2012
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