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Network In Network

Network In Network

16 December 2013
Min Lin
Qiang Chen
Shuicheng Yan
ArXivPDFHTML

Papers citing "Network In Network"

50 / 728 papers shown
Title
A Compact Network Learning Model for Distribution Regression
A Compact Network Learning Model for Distribution Regression
C. Kou
H. Lee
Teck Khim Ng
18
10
0
13 Apr 2018
Model identification for ARMA time series through convolutional neural
  networks
Model identification for ARMA time series through convolutional neural networks
Wai Hoh Tang
A. Röllin
13
17
0
12 Apr 2018
Detail-Preserving Pooling in Deep Networks
Detail-Preserving Pooling in Deep Networks
Faraz Saeedan
Nicolas Weber
Michael Goesele
Stefan Roth
60
90
0
11 Apr 2018
Audio-Visual Scene Analysis with Self-Supervised Multisensory Features
Audio-Visual Scene Analysis with Self-Supervised Multisensory Features
Andrew Owens
Alexei A. Efros
SSL
51
745
0
10 Apr 2018
Ordinal Pooling Networks: For Preserving Information over Shrinking
  Feature Maps
Ordinal Pooling Networks: For Preserving Information over Shrinking Feature Maps
Ashwani Kumar
FAtt
16
8
0
08 Apr 2018
Deep Spatiotemporal Models for Robust Proprioceptive Terrain
  Classification
Deep Spatiotemporal Models for Robust Proprioceptive Terrain Classification
Abhinav Valada
Wolfram Burgard
27
61
0
02 Apr 2018
Efficient and Deep Person Re-Identification using Multi-Level Similarity
Efficient and Deep Person Re-Identification using Multi-Level Similarity
Yiluan Guo
Ngai-man Cheung
25
96
0
30 Mar 2018
Deep Texture Manifold for Ground Terrain Recognition
Deep Texture Manifold for Ground Terrain Recognition
Jia Xue
Hang Zhang
Kristin J. Dana
CVBM
37
123
0
29 Mar 2018
Audio-Visual Event Localization in Unconstrained Videos
Audio-Visual Event Localization in Unconstrained Videos
Yapeng Tian
Jing Shi
Bochen Li
Zhiyao Duan
Chenliang Xu
39
426
0
23 Mar 2018
Learnable Image Encryption
Learnable Image Encryption
Masayuki Tanaka
16
100
0
19 Mar 2018
Local Spectral Graph Convolution for Point Set Feature Learning
Local Spectral Graph Convolution for Point Set Feature Learning
Chu Wang
Babak Samari
Kaleem Siddiqi
3DPC
GNN
33
371
0
15 Mar 2018
Improving Object Counting with Heatmap Regulation
Improving Object Counting with Heatmap Regulation
Shubhra Aich
Ian Stavness
22
33
0
14 Mar 2018
SO-Net: Self-Organizing Network for Point Cloud Analysis
SO-Net: Self-Organizing Network for Point Cloud Analysis
Jiaxin Li
Ben M. Chen
Gim Hee Lee
3DPC
36
935
0
12 Mar 2018
HENet:A Highly Efficient Convolutional Neural Networks Optimized for
  Accuracy, Speed and Storage
HENet:A Highly Efficient Convolutional Neural Networks Optimized for Accuracy, Speed and Storage
Qiuyu Zhu
Ruixin Zhang
3DH
28
5
0
07 Mar 2018
Masked Conditional Neural Networks for Audio Classification
Masked Conditional Neural Networks for Audio Classification
Fady Medhat
D. Chesmore
John A. Robinson
20
17
0
06 Mar 2018
Multimodal Emoji Prediction
Multimodal Emoji Prediction
Francesco Barbieri
Miguel Ballesteros
Francesco Ronzano
Horacio Saggion
22
53
0
06 Mar 2018
Personalized Exposure Control Using Adaptive Metering and Reinforcement
  Learning
Personalized Exposure Control Using Adaptive Metering and Reinforcement Learning
Huan Yang
Baoyuan Wang
Noranart Vesdapunt
Minyi Guo
S. B. Kang
32
22
0
06 Mar 2018
A Benchmark for Iris Location and a Deep Learning Detector Evaluation
A Benchmark for Iris Location and a Deep Learning Detector Evaluation
E. Severo
Rayson Laroca
Cides S. Bezerra
L. A. Zanlorensi
Daniel Weingaertner
Gladston J. P. Moreira
David Menotti
VLM
24
37
0
03 Mar 2018
The History Began from AlexNet: A Comprehensive Survey on Deep Learning
  Approaches
The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches
Md. Zahangir Alom
T. Taha
C. Yakopcic
Stefan Westberg
P. Sidike
Mst Shamima Nasrin
B. Van Essen
A. Awwal
V. Asari
VLM
29
874
0
03 Mar 2018
Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse
  Coding
Frank-Wolfe Network: An Interpretable Deep Structure for Non-Sparse Coding
Dong Liu
Ke Sun
Zhangyang Wang
Runsheng Liu
Zhengjun Zha
24
12
0
28 Feb 2018
Tell Me Where to Look: Guided Attention Inference Network
Tell Me Where to Look: Guided Attention Inference Network
Kunpeng Li
Ziyan Wu
Kuan-Chuan Peng
Jan Ernst
Y. Fu
19
530
0
27 Feb 2018
Yedrouj-Net: An efficient CNN for spatial steganalysis
Yedrouj-Net: An efficient CNN for spatial steganalysis
Mehdi Yedroudj
Frédéric Comby
Marc Chaumont
30
222
0
26 Feb 2018
Demystifying Parallel and Distributed Deep Learning: An In-Depth
  Concurrency Analysis
Demystifying Parallel and Distributed Deep Learning: An In-Depth Concurrency Analysis
Tal Ben-Nun
Torsten Hoefler
GNN
33
703
0
26 Feb 2018
PBGen: Partial Binarization of Deconvolution-Based Generators for Edge
  Intelligence
PBGen: Partial Binarization of Deconvolution-Based Generators for Edge Intelligence
Jinglan Liu
Jiaxin Zhang
Yukun Ding
Xiaowei Xu
Meng Jiang
Yiyu Shi
36
4
0
26 Feb 2018
Indic Handwritten Script Identification using Offline-Online Multimodal
  Deep Network
Indic Handwritten Script Identification using Offline-Online Multimodal Deep Network
A. Bhunia
S. Mukherjee
Aneeshan Sain
A. Bhunia
P. Roy
Umapada Pal
19
32
0
23 Feb 2018
Training wide residual networks for deployment using a single bit for
  each weight
Training wide residual networks for deployment using a single bit for each weight
Mark D Mcdonnell
MQ
35
71
0
23 Feb 2018
Deep Defense: Training DNNs with Improved Adversarial Robustness
Deep Defense: Training DNNs with Improved Adversarial Robustness
Ziang Yan
Yiwen Guo
Changshui Zhang
AAML
38
109
0
23 Feb 2018
Music Genre Classification using Masked Conditional Neural Networks
Music Genre Classification using Masked Conditional Neural Networks
Fady Medhat
D. Chesmore
John A. Robinson
21
4
0
18 Feb 2018
Towards Principled Design of Deep Convolutional Networks: Introducing
  SimpNet
Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet
S. H. HasanPour
Mohammad Rouhani
Mohsen Fayyaz
Mohammad Sabokrou
Ehsan Adeli
50
45
0
17 Feb 2018
Learning Semantic Segmentation with Diverse Supervision
Learning Semantic Segmentation with Diverse Supervision
Linwei Ye
Zhi Liu
Yang Wang
SSL
SSeg
39
15
0
01 Feb 2018
SESR: Single Image Super Resolution with Recursive Squeeze and
  Excitation Networks
SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks
Xi Cheng
Xiang Li
Ying Tai
Jian Yang
26
57
0
31 Jan 2018
Learning Combinations of Activation Functions
Learning Combinations of Activation Functions
Franco Manessi
A. Rozza
AI4CE
26
54
0
29 Jan 2018
JointDNN: An Efficient Training and Inference Engine for Intelligent
  Mobile Cloud Computing Services
JointDNN: An Efficient Training and Inference Engine for Intelligent Mobile Cloud Computing Services
Amir Erfan Eshratifar
M. Abrishami
Massoud Pedram
FedML
34
248
0
25 Jan 2018
NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural
  Discriminative Dimensionality Reduction
NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction
Yuan Gao
Jiayi Ma
Mingbo Zhao
Wen Liu
Alan Yuille
36
252
0
25 Jan 2018
PointCNN: Convolution On $\mathcal{X}$-Transformed Points
PointCNN: Convolution On X\mathcal{X}X-Transformed Points
Yangyan Li
Rui Bu
Mingchao Sun
Wei Wu
Xinhan Di
Baoquan Chen
3DPC
146
2,422
0
23 Jan 2018
Understanding the Disharmony between Dropout and Batch Normalization by
  Variance Shift
Understanding the Disharmony between Dropout and Batch Normalization by Variance Shift
Xiang Li
Shuo Chen
Xiaolin Hu
Jian Yang
39
309
0
16 Jan 2018
Fix your classifier: the marginal value of training the last weight
  layer
Fix your classifier: the marginal value of training the last weight layer
Elad Hoffer
Itay Hubara
Daniel Soudry
35
101
0
14 Jan 2018
TieNet: Text-Image Embedding Network for Common Thorax Disease
  Classification and Reporting in Chest X-rays
TieNet: Text-Image Embedding Network for Common Thorax Disease Classification and Reporting in Chest X-rays
Xiaosong Wang
Yifan Peng
Le Lu
Zhiyong Lu
Ronald M. Summers
MedIm
38
462
0
12 Jan 2018
SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis
SketchyGAN: Towards Diverse and Realistic Sketch to Image Synthesis
W. Chen
James Hays
GAN
28
305
0
09 Jan 2018
Improved Inception-Residual Convolutional Neural Network for Object
  Recognition
Improved Inception-Residual Convolutional Neural Network for Object Recognition
Md. Zahangir Alom
Mahmudul Hasan
C. Yakopcic
T. Taha
V. Asari
46
116
0
28 Dec 2017
Aerial Spectral Super-Resolution using Conditional Adversarial Networks
Aerial Spectral Super-Resolution using Conditional Adversarial Networks
Aneesh Rangnekar
Nilay Mokashi
Emmett Ientilucci
Christopher Kanan
Matthew Hoffman
3DPC
GAN
24
26
0
23 Dec 2017
Learning Sight from Sound: Ambient Sound Provides Supervision for Visual
  Learning
Learning Sight from Sound: Ambient Sound Provides Supervision for Visual Learning
Andrew Owens
Jiajun Wu
Josh H. McDermott
William T. Freeman
Antonio Torralba
SSL
41
177
0
20 Dec 2017
SkipNet: Learning Dynamic Routing in Convolutional Networks
SkipNet: Learning Dynamic Routing in Convolutional Networks
Xin Wang
Feng Yu
Zi-Yi Dou
Trevor Darrell
Joseph E. Gonzalez
36
626
0
26 Nov 2017
Visual Feature Attribution using Wasserstein GANs
Visual Feature Attribution using Wasserstein GANs
Christian F. Baumgartner
Lisa M. Koch
K. Tezcan
Jia Xi Ang
E. Konukoglu
GAN
MedIm
52
145
0
24 Nov 2017
Deep Expander Networks: Efficient Deep Networks from Graph Theory
Deep Expander Networks: Efficient Deep Networks from Graph Theory
Ameya Prabhu
G. Varma
A. Namboodiri
GNN
30
71
0
23 Nov 2017
ForestHash: Semantic Hashing With Shallow Random Forests and Tiny
  Convolutional Networks
ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks
Qiang Qiu
José Lezama
A. Bronstein
Guillermo Sapiro
23
8
0
22 Nov 2017
Learning a Robust Representation via a Deep Network on Symmetric
  Positive Definite Manifolds
Learning a Robust Representation via a Deep Network on Symmetric Positive Definite Manifolds
Zhi Gao
Yuwei Wu
Xingyuan Bu
Yunde Jia
36
32
0
17 Nov 2017
AOGNets: Compositional Grammatical Architectures for Deep Learning
AOGNets: Compositional Grammatical Architectures for Deep Learning
Xilai Li
Xi Song
Tianfu Wu
37
25
0
15 Nov 2017
A joint separation-classification model for sound event detection of
  weakly labelled data
A joint separation-classification model for sound event detection of weakly labelled data
Qiuqiang Kong
Yong-mei Xu
Wenwu Wang
Mark D. Plumbley
24
29
0
08 Nov 2017
Moonshine: Distilling with Cheap Convolutions
Moonshine: Distilling with Cheap Convolutions
Elliot J. Crowley
Gavia Gray
Amos Storkey
30
120
0
07 Nov 2017
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