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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 / 756 papers shown
Title
DiracNets: Training Very Deep Neural Networks Without Skip-Connections
DiracNets: Training Very Deep Neural Networks Without Skip-Connections
Sergey Zagoruyko
N. Komodakis
UQCV
OOD
16
117
0
01 Jun 2017
Spectral Norm Regularization for Improving the Generalizability of Deep
  Learning
Spectral Norm Regularization for Improving the Generalizability of Deep Learning
Yuichi Yoshida
Takeru Miyato
46
325
0
31 May 2017
Feature Incay for Representation Regularization
Feature Incay for Representation Regularization
Yuhui Yuan
Kuiyuan Yang
Chao Zhang
35
16
0
29 May 2017
Extracting 3D Vascular Structures from Microscopy Images using
  Convolutional Recurrent Networks
Extracting 3D Vascular Structures from Microscopy Images using Convolutional Recurrent Networks
Russell Bates
B. Irving
B. Markelc
Jakob Kaeppler
R. Muschel
Vicente Grau
Julia A. Schnabel
MedIm
25
20
0
26 May 2017
Robustness of classifiers to universal perturbations: a geometric
  perspective
Robustness of classifiers to universal perturbations: a geometric perspective
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
Omar Fawzi
P. Frossard
Stefano Soatto
AAML
32
118
0
26 May 2017
Classification regions of deep neural networks
Classification regions of deep neural networks
Alhussein Fawzi
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
Stefano Soatto
31
51
0
26 May 2017
Audio-replay attack detection countermeasures
Audio-replay attack detection countermeasures
G. Lavrentyeva
Sergey Novoselov
E. Malykh
Alexander Kozlov
Oleg Kudashev
Vadim Shchemelinin
19
10
0
24 May 2017
Deep Rotation Equivariant Network
Deep Rotation Equivariant Network
Junying Li
Zichen Yang
Haifeng Liu
Deng Cai
26
59
0
24 May 2017
GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network
GP-Unet: Lesion Detection from Weak Labels with a 3D Regression Network
Florian Dubost
Gerda Bortsova
H. Adams
M. Ikram
W. Niessen
Meike W. Vernooij
Marleen De Bruijne
MedIm
21
61
0
22 May 2017
Agent-Centric Risk Assessment: Accident Anticipation and Risky Region
  Localization
Agent-Centric Risk Assessment: Accident Anticipation and Risky Region Localization
Kuo-Hao Zeng
Shih-Han Chou
Fu-Hsiang Chan
Juan Carlos Niebles
Min Sun
32
59
0
18 May 2017
Gabor Filter Assisted Energy Efficient Fast Learning Convolutional
  Neural Networks
Gabor Filter Assisted Energy Efficient Fast Learning Convolutional Neural Networks
Syed Shakib Sarwar
Priyadarshini Panda
Kaushik Roy
CVBM
24
100
0
12 May 2017
R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD
  Malware Detections
R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD Malware Detections
Hsien-De Huang
Hung-Yu kao
AAML
32
147
0
12 May 2017
CORe50: a New Dataset and Benchmark for Continuous Object Recognition
CORe50: a New Dataset and Benchmark for Continuous Object Recognition
Vincenzo Lomonaco
Davide Maltoni
34
490
0
09 May 2017
Residual Squeeze VGG16
Residual Squeeze VGG16
Hussam Qassim
David Feinzimer
Abhishek Verma
VLM
24
21
0
05 May 2017
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep
  Neural Networks
Compressing DMA Engine: Leveraging Activation Sparsity for Training Deep Neural Networks
Minsoo Rhu
Mike O'Connor
Niladrish Chatterjee
Jeff Pool
S. Keckler
33
176
0
03 May 2017
Gabor Convolutional Networks
Gabor Convolutional Networks
Shangzhen Luan
Baochang Zhang
Chen Chen
Xianbin Cao
Jiawei Han
Jianzhuang Liu
BDL
47
338
0
03 May 2017
Parseval Networks: Improving Robustness to Adversarial Examples
Parseval Networks: Improving Robustness to Adversarial Examples
Moustapha Cissé
Piotr Bojanowski
Edouard Grave
Yann N. Dauphin
Nicolas Usunier
AAML
86
798
0
28 Apr 2017
Improving Facial Attribute Prediction using Semantic Segmentation
Improving Facial Attribute Prediction using Semantic Segmentation
Mahdi M. Kalayeh
Boqing Gong
M. Shah
CVBM
32
88
0
27 Apr 2017
Inception Recurrent Convolutional Neural Network for Object Recognition
Inception Recurrent Convolutional Neural Network for Object Recognition
Md. Zahangir Alom
Mahmudul Hasan
C. Yakopcic
T. Taha
41
86
0
25 Apr 2017
ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond
ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond
Siyuan Qiao
Wei Shen
Weichao Qiu
Chenxi Liu
Alan Yuille
24
36
0
22 Apr 2017
Virtual Adversarial Training: A Regularization Method for Supervised and
  Semi-Supervised Learning
Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning
Takeru Miyato
S. Maeda
Masanori Koyama
S. Ishii
GAN
87
2,720
0
13 Apr 2017
The Relative Performance of Ensemble Methods with Deep Convolutional
  Neural Networks for Image Classification
The Relative Performance of Ensemble Methods with Deep Convolutional Neural Networks for Image Classification
Cheng Ju
Aurélien F. Bibaut
Mark van der Laan
UQCV
28
357
0
05 Apr 2017
A Genetic Programming Approach to Designing Convolutional Neural Network
  Architectures
A Genetic Programming Approach to Designing Convolutional Neural Network Architectures
Masanori Suganuma
Shinichi Shirakawa
T. Nagao
54
587
0
03 Apr 2017
Snapshot Ensembles: Train 1, get M for free
Snapshot Ensembles: Train 1, get M for free
Gao Huang
Yixuan Li
Geoff Pleiss
Zhuang Liu
J. Hopcroft
Kilian Q. Weinberger
OOD
FedML
UQCV
68
935
0
01 Apr 2017
More is Less: A More Complicated Network with Less Inference Complexity
More is Less: A More Complicated Network with Less Inference Complexity
Xuanyi Dong
Junshi Huang
Yi Yang
Shuicheng Yan
26
288
0
25 Mar 2017
High-Resolution Breast Cancer Screening with Multi-View Deep
  Convolutional Neural Networks
High-Resolution Breast Cancer Screening with Multi-View Deep Convolutional Neural Networks
Krzysztof J. Geras
Stacey Wolfson
Yiqiu Shen
Nan Wu
S. G. Kim
Eric Kim
Laura Heacock
Ujas N Parikh
Linda Moy
Kyunghyun Cho
40
222
0
21 Mar 2017
Encouraging LSTMs to Anticipate Actions Very Early
Encouraging LSTMs to Anticipate Actions Very Early
Mohammad Sadegh Ali Akbarian
F. Saleh
Mathieu Salzmann
Basura Fernando
L. Petersson
Lars Andersson
34
169
0
21 Mar 2017
Multilevel Context Representation for Improving Object Recognition
Multilevel Context Representation for Improving Object Recognition
Andreas Kölsch
Muhammad Zeshan Afzal
Marcus Liwicki
33
3
0
19 Mar 2017
Deciding How to Decide: Dynamic Routing in Artificial Neural Networks
Deciding How to Decide: Dynamic Routing in Artificial Neural Networks
Mason McGill
Pietro Perona
26
102
0
17 Mar 2017
DropRegion Training of Inception Font Network for High-Performance
  Chinese Font Recognition
DropRegion Training of Inception Font Network for High-Performance Chinese Font Recognition
Shuangping Huangm Zhuoyao Zhong
Lianwen Jin
Shuye Zhang
Haobin Wang
25
18
0
17 Mar 2017
End-to-end semantic face segmentation with conditional random fields as
  convolutional, recurrent and adversarial networks
End-to-end semantic face segmentation with conditional random fields as convolutional, recurrent and adversarial networks
Umut Güçlü
Yağmur Güçlütürk
Meysam Madadi
Sergio Escalera
Xavier Baro
Jordi Gonzalez
R. Lier
Marcel van Gerven
CVBM
GAN
SSeg
38
19
0
09 Mar 2017
Genetic CNN
Genetic CNN
Lingxi Xie
Alan Yuille
3DV
53
836
0
04 Mar 2017
Large-Scale Evolution of Image Classifiers
Large-Scale Evolution of Image Classifiers
Esteban Real
Sherry Moore
Andrew Selle
Saurabh Saxena
Y. Suematsu
Jie Tan
Quoc V. Le
Alexey Kurakin
63
1,630
0
03 Mar 2017
Wireless Interference Identification with Convolutional Neural Networks
Wireless Interference Identification with Convolutional Neural Networks
Malte Schmidt
Dimitri Block
U. Meier
26
135
0
02 Mar 2017
The Statistical Recurrent Unit
The Statistical Recurrent Unit
Junier B. Oliva
Barnabás Póczós
J. Schneider
26
50
0
01 Mar 2017
ShaResNet: reducing residual network parameter number by sharing weights
ShaResNet: reducing residual network parameter number by sharing weights
Alexandre Boulch
32
26
0
28 Feb 2017
Convolutional Gated Recurrent Neural Network Incorporating Spatial
  Features for Audio Tagging
Convolutional Gated Recurrent Neural Network Incorporating Spatial Features for Audio Tagging
Yong-mei Xu
Qiuqiang Kong
Qiang Huang
Wenwu Wang
Mark D. Plumbley
32
102
0
24 Feb 2017
Cosine Normalization: Using Cosine Similarity Instead of Dot Product in
  Neural Networks
Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks
Chunjie Luo
Jianfeng Zhan
Lei Wang
Qiang Yang
24
199
0
20 Feb 2017
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
367
10,639
0
19 Feb 2017
Dual-Tree Wavelet Scattering Network with Parametric Log Transformation
  for Object Classification
Dual-Tree Wavelet Scattering Network with Parametric Log Transformation for Object Classification
Amarjot Singh
N. Kingsbury
33
35
0
10 Feb 2017
Deep Learning with Low Precision by Half-wave Gaussian Quantization
Deep Learning with Low Precision by Half-wave Gaussian Quantization
Zhaowei Cai
Xiaodong He
Jian Sun
Nuno Vasconcelos
MQ
50
503
0
03 Feb 2017
Deep Learning the Indus Script
Deep Learning the Indus Script
S. Palaniappan
Ronojoy Adhikari
AI4CE
24
10
0
02 Feb 2017
Supervised Deep Sparse Coding Networks
Supervised Deep Sparse Coding Networks
Xiaoxia Sun
Nasser M. Nasrabadi
T. Tran
BDL
27
15
0
29 Jan 2017
Unsupervised Joint Mining of Deep Features and Image Labels for
  Large-scale Radiology Image Categorization and Scene Recognition
Unsupervised Joint Mining of Deep Features and Image Labels for Large-scale Radiology Image Categorization and Scene Recognition
Xiaosong Wang
Le Lu
Hoo-Chang Shin
Lauren Kim
M. Bagheri
Isabella Nogues
Jianhua Yao
Ronald M. Summers
29
40
0
23 Jan 2017
Attention-Based Multimodal Fusion for Video Description
Attention-Based Multimodal Fusion for Video Description
Chiori Hori
Takaaki Hori
Teng-Yok Lee
Kazuhiro Sumi
J. Hershey
Tim K. Marks
41
359
0
11 Jan 2017
CNN-based Segmentation of Medical Imaging Data
CNN-based Segmentation of Medical Imaging Data
Baris Kayalibay
Grady Jensen
Patrick van der Smagt
SSeg
35
413
0
11 Jan 2017
Modeling Grasp Motor Imagery through Deep Conditional Generative Models
Modeling Grasp Motor Imagery through Deep Conditional Generative Models
M. Veres
M. Moussa
Graham W. Taylor
GAN
32
37
0
11 Jan 2017
Oriented Response Networks
Oriented Response Networks
Yanzhao Zhou
QiXiang Ye
Qiang Qiu
Jianbin Jiao
27
259
0
07 Jan 2017
YOLO9000: Better, Faster, Stronger
YOLO9000: Better, Faster, Stronger
Joseph Redmon
Ali Farhadi
VLM
ObjD
92
15,477
0
25 Dec 2016
Exploring the Design Space of Deep Convolutional Neural Networks at
  Large Scale
Exploring the Design Space of Deep Convolutional Neural Networks at Large Scale
F. Iandola
3DV
26
18
0
20 Dec 2016
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