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Wide Residual Networks
v1v2v3v4 (latest)

Wide Residual Networks

23 May 2016
Sergey Zagoruyko
N. Komodakis
ArXiv (abs)PDFHTMLGithub (1306★)

Papers citing "Wide Residual Networks"

50 / 4,147 papers shown
Title
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry
  and Semantics
Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics
Alex Kendall
Y. Gal
R. Cipolla
3DH
278
3,140
0
19 May 2017
Building effective deep neural network architectures one feature at a
  time
Building effective deep neural network architectures one feature at a time
Martin Mundt
Tobias Weis
K. Konda
Visvanathan Ramesh
34
1
0
18 May 2017
Incremental Learning Through Deep Adaptation
Incremental Learning Through Deep Adaptation
Amir Rosenfeld
John K. Tsotsos
CLL
76
279
0
11 May 2017
Context-aware stacked convolutional neural networks for classification
  of breast carcinomas in whole-slide histopathology images
Context-aware stacked convolutional neural networks for classification of breast carcinomas in whole-slide histopathology images
B. Bejnordi
G. Zuidhof
M. Balkenhol
M. Hermsen
P. Bult
Bram van Ginneken
N. Karssemeijer
G. Litjens
Jeroen van der Laak
177
163
0
10 May 2017
Gabor Convolutional Networks
Gabor Convolutional Networks
Shangzhen Luan
Baochang Zhang
Chen Chen
Xianbin Cao
Jiawei Han
Jianzhuang Liu
BDL
172
345
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
182
808
0
28 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
60
88
0
25 Apr 2017
Residual Attention Network for Image Classification
Residual Attention Network for Image Classification
Fei Wang
Mengqing Jiang
Chao Qian
Shuo Yang
Cheng Li
Honggang Zhang
Xiaogang Wang
Xiaoou Tang
126
3,319
0
23 Apr 2017
Network Dissection: Quantifying Interpretability of Deep Visual
  Representations
Network Dissection: Quantifying Interpretability of Deep Visual Representations
David Bau
Bolei Zhou
A. Khosla
A. Oliva
Antonio Torralba
MILMFAtt
161
1,527
1
19 Apr 2017
Simplified Stochastic Feedforward Neural Networks
Simplified Stochastic Feedforward Neural Networks
Kimin Lee
Jaehyung Kim
S. Chong
Jinwoo Shin
43
3
0
11 Apr 2017
Automatic Liver Lesion Detection using Cascaded Deep Residual Networks
Automatic Liver Lesion Detection using Cascaded Deep Residual Networks
Lei Bi
Jinman Kim
Ashnil Kumar
Dagan Feng
MedIm
95
82
0
10 Apr 2017
Automatic Image Filtering on Social Networks Using Deep Learning and
  Perceptual Hashing During Crises
Automatic Image Filtering on Social Networks Using Deep Learning and Perceptual Hashing During Crises
T. Nguyen
Firoj Alam
Ferda Ofli
Muhammad Imran
65
86
0
09 Apr 2017
On the Relation between Color Image Denoising and Classification
On the Relation between Color Image Denoising and Classification
Jiqing Wu
Radu Timofte
Zhiwu Huang
Luc Van Gool
60
14
0
05 Apr 2017
Truncating Wide Networks using Binary Tree Architectures
Truncating Wide Networks using Binary Tree Architectures
Yan Zhang
Mete Ozay
Shuohao Li
Takayuki Okatani
MQ
28
4
0
03 Apr 2017
A Good Practice Towards Top Performance of Face Recognition: Transferred
  Deep Feature Fusion
A Good Practice Towards Top Performance of Face Recognition: Transferred Deep Feature Fusion
Lin Xiong
J. Karlekar
Jian-jun Zhao
Yi Cheng
Yan Xu
Jiashi Feng
Sugiri Pranata
Shengmei Shen
CVBM
85
32
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
John E. Hopcroft
Kilian Q. Weinberger
OODFedMLUQCV
183
954
0
01 Apr 2017
Multi-Scale Dense Networks for Resource Efficient Image Classification
Multi-Scale Dense Networks for Resource Efficient Image Classification
Gao Huang
Danlu Chen
Tianhong Li
Felix Wu
Laurens van der Maaten
Kilian Q. Weinberger
VLM
73
140
0
29 Mar 2017
Active Convolution: Learning the Shape of Convolution for Image
  Classification
Active Convolution: Learning the Shape of Convolution for Image Classification
Yunho Jeon
Junmo Kim
88
172
0
27 Mar 2017
Scaling the Scattering Transform: Deep Hybrid Networks
Scaling the Scattering Transform: Deep Hybrid Networks
Edouard Oyallon
Eugene Belilovsky
Sergey Zagoruyko
87
162
0
27 Mar 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
85
288
0
25 Mar 2017
Generative Adversarial Residual Pairwise Networks for One Shot Learning
Generative Adversarial Residual Pairwise Networks for One Shot Learning
A. Mehrotra
Ambedkar Dukkipati
GAN
87
110
0
23 Mar 2017
Simple Online and Realtime Tracking with a Deep Association Metric
Simple Online and Realtime Tracking with a Deep Association Metric
N. Wojke
Alex Bewley
Dietrich Paulus
VOT
407
3,561
0
21 Mar 2017
SORT: Second-Order Response Transform for Visual Recognition
SORT: Second-Order Response Transform for Visual Recognition
Yan Wang
Lingxi Xie
Chenxi Liu
Ya Zhang
Wenjun Zhang
Alan Yuille
71
53
0
20 Mar 2017
Automatic Skin Lesion Analysis using Large-scale Dermoscopy Images and
  Deep Residual Networks
Automatic Skin Lesion Analysis using Large-scale Dermoscopy Images and Deep Residual Networks
Lei Bi
Jinman Kim
Euijoon Ahn
Dagan Feng
MedIm
91
200
0
12 Mar 2017
Sharing Residual Units Through Collective Tensor Factorization in Deep
  Neural Networks
Sharing Residual Units Through Collective Tensor Factorization in Deep Neural Networks
Yunpeng Chen
Xiaojie Jin
Bingyi Kang
Jiashi Feng
Shuicheng Yan
80
37
0
07 Mar 2017
English Conversational Telephone Speech Recognition by Humans and
  Machines
English Conversational Telephone Speech Recognition by Humans and Machines
G. Saon
Gakuto Kurata
Tom Sercu
Kartik Audhkhasi
Samuel Thomas
...
Bhuvana Ramabhadran
M. Picheny
L. Lim
Bergul Roomi
Phil Hall
75
366
0
06 Mar 2017
All You Need is Beyond a Good Init: Exploring Better Solution for
  Training Extremely Deep Convolutional Neural Networks with Orthonormality and
  Modulation
All You Need is Beyond a Good Init: Exploring Better Solution for Training Extremely Deep Convolutional Neural Networks with Orthonormality and Modulation
Di Xie
Jiang Xiong
Shiliang Pu
147
183
0
06 Mar 2017
Building a Regular Decision Boundary with Deep Networks
Building a Regular Decision Boundary with Deep Networks
Edouard Oyallon
46
29
0
06 Mar 2017
Genetic CNN
Genetic CNN
Lingxi Xie
Alan Yuille
3DV
149
847
0
04 Mar 2017
Deep Collaborative Learning for Visual Recognition
Deep Collaborative Learning for Visual Recognition
Yan Wang
Lingxi Xie
Ya Zhang
Wenjun Zhang
Alan Yuille
52
4
0
03 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
197
1,644
0
03 Mar 2017
Binarized Convolutional Landmark Localizers for Human Pose Estimation
  and Face Alignment with Limited Resources
Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources
Adrian Bulat
Georgios Tzimiropoulos
CVBM3DV
123
191
0
02 Mar 2017
On the Reconstruction of Face Images from Deep Face Templates
On the Reconstruction of Face Images from Deep Face Templates
Guangcan Mai
Kai Cao
Pong C. Yuen
Anil K. Jain
3DHCVBM
133
185
0
02 Mar 2017
Attentive Recurrent Comparators
Attentive Recurrent Comparators
Pranav Shyam
Shubham Gupta
Ambedkar Dukkipati
VLM
74
108
0
02 Mar 2017
Low-Precision Batch-Normalized Activations
Low-Precision Batch-Normalized Activations
Benjamin Graham
MQ
79
9
0
27 Feb 2017
On the Origin of Deep Learning
On the Origin of Deep Learning
Haohan Wang
Bhiksha Raj
MedIm3DVVLM
145
225
0
24 Feb 2017
Residual Convolutional CTC Networks for Automatic Speech Recognition
Residual Convolutional CTC Networks for Automatic Speech Recognition
Yisen Wang
Xuejiao Deng
Songbai Pu
Zhiheng Huang
97
82
0
24 Feb 2017
Learning Chained Deep Features and Classifiers for Cascade in Object
  Detection
Learning Chained Deep Features and Classifiers for Cascade in Object Detection
Wanli Ouyang
Kun Wang
Xin Zhu
Xiaogang Wang
ObjD
57
19
0
23 Feb 2017
DeepCloak: Masking Deep Neural Network Models for Robustness Against
  Adversarial Samples
DeepCloak: Masking Deep Neural Network Models for Robustness Against Adversarial Samples
Ji Gao
Beilun Wang
Zeming Lin
Weilin Xu
Yanjun Qi
AAML
101
90
0
22 Feb 2017
Convolution Aware Initialization
Convolution Aware Initialization
Armen Aghajanyan
68
9
0
21 Feb 2017
Dataset Augmentation in Feature Space
Dataset Augmentation in Feature Space
Terrance Devries
Graham W. Taylor
82
429
0
17 Feb 2017
Soft Weight-Sharing for Neural Network Compression
Soft Weight-Sharing for Neural Network Compression
Karen Ullrich
Edward Meeds
Max Welling
174
421
0
13 Feb 2017
A Novel Weight-Shared Multi-Stage CNN for Scale Robustness
A Novel Weight-Shared Multi-Stage CNN for Scale Robustness
Ryo Takahashi
Takashi Matsubara
K. Uehara
OOD
66
21
0
12 Feb 2017
Wide-Residual-Inception Networks for Real-time Object Detection
Wide-Residual-Inception Networks for Real-time Object Detection
Youngwan Lee
Byeonghak Yim
Huieun Kim
Eunsoo Park
X. Cui
Taekang Woo
Hakil Kim
ObjD
77
32
0
04 Feb 2017
Supervised Deep Sparse Coding Networks
Supervised Deep Sparse Coding Networks
Xiaoxia Sun
Nasser M. Nasrabadi
T. Tran
BDL
94
15
0
29 Jan 2017
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture
  Likelihood and Other Modifications
PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications
Tim Salimans
A. Karpathy
Xi Chen
Diederik P. Kingma
143
945
0
19 Jan 2017
Embedding Watermarks into Deep Neural Networks
Embedding Watermarks into Deep Neural Networks
Yusuke Uchida
Yuki Nagai
S. Sakazawa
Shiníchi Satoh
122
616
0
15 Jan 2017
Oriented Response Networks
Oriented Response Networks
Yanzhao Zhou
QiXiang Ye
Qiang Qiu
Jianbin Jiao
87
262
0
07 Jan 2017
Automatic Discoveries of Physical and Semantic Concepts via Association
  Priors of Neuron Groups
Automatic Discoveries of Physical and Semantic Concepts via Association Priors of Neuron Groups
Shuai Li
Kui Jia
Xiaogang Wang
20
0
0
30 Dec 2016
Steerable CNNs
Steerable CNNs
Taco S. Cohen
Max Welling
BDL
147
499
0
27 Dec 2016
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