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Convolution in Convolution for Network in Network

Convolution in Convolution for Network in Network

22 March 2016
Yanwei Pang
Manli Sun
Xiaoheng Jiang
Xuelong Li
ArXiv (abs)PDFHTML

Papers citing "Convolution in Convolution for Network in Network"

29 / 29 papers shown
Title
Cascaded Subpatch Networks for Effective CNNs
Cascaded Subpatch Networks for Effective CNNs
Xiaoheng Jiang
Yanwei Pang
Manli Sun
Xuelong Li
59
39
0
01 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.3K
194,510
0
10 Dec 2015
Pedestrian Detection Inspired by Appearance Constancy and Shape Symmetry
Pedestrian Detection Inspired by Appearance Constancy and Shape Symmetry
Jiale Cao
Yanwei Pang
Xuelong Li
65
85
0
25 Nov 2015
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed,
  Gated, and Tree
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree
Chen-Yu Lee
Patrick W. Gallagher
Zhuowen Tu
AI4CE
77
484
0
30 Sep 2015
Learning Sampling Distributions for Efficient Object Detection
Learning Sampling Distributions for Efficient Object Detection
Yanwei Pang
Jiale Cao
Xuelong Li
74
48
0
23 Aug 2015
Highway Networks
Highway Networks
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
185
1,773
0
03 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
469
43,347
0
11 Feb 2015
Learning Activation Functions to Improve Deep Neural Networks
Learning Activation Functions to Improve Deep Neural Networks
Forest Agostinelli
Matthew Hoffman
Peter Sadowski
Pierre Baldi
ODL
232
476
0
21 Dec 2014
Striving for Simplicity: The All Convolutional Net
Striving for Simplicity: The All Convolutional Net
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
254
4,681
0
21 Dec 2014
FitNets: Hints for Thin Deep Nets
FitNets: Hints for Thin Deep Nets
Adriana Romero
Nicolas Ballas
Samira Ebrahimi Kahou
Antoine Chassang
C. Gatta
Yoshua Bengio
FedML
328
3,906
0
19 Dec 2014
Fractional Max-Pooling
Fractional Max-Pooling
Benjamin Graham
TPM
109
517
0
18 Dec 2014
MatConvNet - Convolutional Neural Networks for MATLAB
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
331
2,949
0
15 Dec 2014
Deeply-Supervised Nets
Deeply-Supervised Nets
Chen-Yu Lee
Saining Xie
Patrick W. Gallagher
Zhengyou Zhang
Zhuowen Tu
354
2,243
0
18 Sep 2014
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
496
43,717
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
FAttMDE
1.7K
100,529
0
04 Sep 2014
Deep Networks with Internal Selective Attention through Feedback
  Connections
Deep Networks with Internal Selective Attention through Feedback Connections
Marijn F. Stollenga
Jonathan Masci
Faustino J. Gomez
Jürgen Schmidhuber
164
257
0
11 Jul 2014
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual
  Recognition
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
ObjD
416
11,242
0
18 Jun 2014
Generalized Max Pooling
Generalized Max Pooling
Naila Murray
Florent Perronnin
101
205
0
02 Jun 2014
PCANet: A Simple Deep Learning Baseline for Image Classification?
PCANet: A Simple Deep Learning Baseline for Image Classification?
Tsung-Han Chan
Kui Jia
Shenghua Gao
Jiwen Lu
Zinan Zeng
Yi-An Ma
120
1,501
0
14 Apr 2014
Multi-scale Orderless Pooling of Deep Convolutional Activation Features
Multi-scale Orderless Pooling of Deep Convolutional Activation Features
Yunchao Gong
Liwei Wang
Ruiqi Guo
Svetlana Lazebnik
182
1,090
0
07 Mar 2014
OverFeat: Integrated Recognition, Localization and Detection using
  Convolutional Networks
OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks
P. Sermanet
David Eigen
Xiang Zhang
Michaël Mathieu
Rob Fergus
Yann LeCun
ObjD
158
5,008
0
21 Dec 2013
Improving Deep Neural Networks with Probabilistic Maxout Units
Improving Deep Neural Networks with Probabilistic Maxout Units
Jost Tobias Springenberg
Martin Riedmiller
BDLOOD
220
101
0
20 Dec 2013
Network In Network
Network In Network
Min Lin
Qiang Chen
Shuicheng Yan
299
6,285
0
16 Dec 2013
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAttSSL
603
15,907
0
12 Nov 2013
Maxout Networks
Maxout Networks
Ian Goodfellow
David Warde-Farley
M. Berk Mirza
Aaron Courville
Yoshua Bengio
OOD
264
2,179
0
18 Feb 2013
Stochastic Pooling for Regularization of Deep Convolutional Neural
  Networks
Stochastic Pooling for Regularization of Deep Convolutional Neural Networks
Matthew D. Zeiler
Rob Fergus
198
989
0
16 Jan 2013
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
465
7,667
0
03 Jul 2012
Multi-column Deep Neural Networks for Image Classification
Multi-column Deep Neural Networks for Image Classification
D. Ciresan
U. Meier
Jürgen Schmidhuber
181
3,945
0
13 Feb 2012
Emergence of Complex-Like Cells in a Temporal Product Network with Local
  Receptive Fields
Emergence of Complex-Like Cells in a Temporal Product Network with Local Receptive Fields
Karol Gregor
Yann LeCun
131
72
0
02 Jun 2010
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