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Wide Residual Networks

Wide Residual Networks

23 May 2016
Sergey Zagoruyko
N. Komodakis
ArXivPDFHTML

Papers citing "Wide Residual Networks"

50 / 4,117 papers shown
Title
Deep Competitive Pathway Networks
Deep Competitive Pathway Networks
Jia-Ren Chang
Yonghao Chen
14
0
0
29 Sep 2017
Riemannian approach to batch normalization
Riemannian approach to batch normalization
Minhyung Cho
Jaehyung Lee
29
94
0
27 Sep 2017
Comparison of Batch Normalization and Weight Normalization Algorithms
  for the Large-scale Image Classification
Comparison of Batch Normalization and Weight Normalization Algorithms for the Large-scale Image Classification
Igor Gitman
Boris Ginsburg
8
65
0
24 Sep 2017
SwGridNet: A Deep Convolutional Neural Network based on Grid Topology
  for Image Classification
SwGridNet: A Deep Convolutional Neural Network based on Grid Topology for Image Classification
Atsushi Takeda
11
0
0
22 Sep 2017
EraseReLU: A Simple Way to Ease the Training of Deep Convolution Neural
  Networks
EraseReLU: A Simple Way to Ease the Training of Deep Convolution Neural Networks
Xuanyi Dong
Guoliang Kang
Kun Zhan
Yi Yang
16
16
0
22 Sep 2017
Neural Optimizer Search with Reinforcement Learning
Neural Optimizer Search with Reinforcement Learning
Irwan Bello
Barret Zoph
Vijay Vasudevan
Quoc V. Le
ODL
29
383
0
21 Sep 2017
Rethink ReLU to Training Better CNNs
Rethink ReLU to Training Better CNNs
Gangming Zhao
Zhaoxiang Zhang
He Guan
Peng Tang
Jingdong Wang
23
6
0
19 Sep 2017
Coupled Ensembles of Neural Networks
Coupled Ensembles of Neural Networks
Anuvabh Dutt
D. Pellerin
Georges Quénot
OOD
13
35
0
18 Sep 2017
Recognizing Objects In-the-wild: Where Do We Stand?
Recognizing Objects In-the-wild: Where Do We Stand?
Mohammad Reza Loghmani
Barbara Caputo
Markus Vincze
21
40
0
18 Sep 2017
Wide and deep volumetric residual networks for volumetric image
  classification
Wide and deep volumetric residual networks for volumetric image classification
Varun Arvind
A. Costa
Marcus A. Badgeley
Samuel K. Cho
Eric Oermann
3DPC
MedIm
49
15
0
18 Sep 2017
Orthogonal Weight Normalization: Solution to Optimization over Multiple
  Dependent Stiefel Manifolds in Deep Neural Networks
Orthogonal Weight Normalization: Solution to Optimization over Multiple Dependent Stiefel Manifolds in Deep Neural Networks
Lei Huang
Xianglong Liu
B. Lang
Adams Wei Yu
Yongliang Wang
Bo Li
ODL
35
224
0
16 Sep 2017
Food Recognition using Fusion of Classifiers based on CNNs
Food Recognition using Fusion of Classifiers based on CNNs
Eduardo Aguilar
Marc Bolaños
Petia Radeva
19
58
0
14 Sep 2017
Normalized Direction-preserving Adam
Normalized Direction-preserving Adam
Zijun Zhang
Lin Ma
Zongpeng Li
Chuan Wu
ODL
25
29
0
13 Sep 2017
Reversible Architectures for Arbitrarily Deep Residual Neural Networks
Reversible Architectures for Arbitrarily Deep Residual Neural Networks
B. Chang
Lili Meng
E. Haber
Lars Ruthotto
David Begert
E. Holtham
AI4CE
36
261
0
12 Sep 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
93
26,062
0
05 Sep 2017
WRPN: Wide Reduced-Precision Networks
WRPN: Wide Reduced-Precision Networks
Asit K. Mishra
Eriko Nurvitadhi
Jeffrey J. Cook
Debbie Marr
MQ
39
266
0
04 Sep 2017
Training Shallow and Thin Networks for Acceleration via Knowledge
  Distillation with Conditional Adversarial Networks
Training Shallow and Thin Networks for Acceleration via Knowledge Distillation with Conditional Adversarial Networks
Zheng Xu
Yen-Chang Hsu
Jiawei Huang
GAN
35
12
0
02 Sep 2017
Efficient Convolutional Network Learning using Parametric Log based
  Dual-Tree Wavelet ScatterNet
Efficient Convolutional Network Learning using Parametric Log based Dual-Tree Wavelet ScatterNet
Amarjot Singh
N. Kingsbury
27
26
0
30 Aug 2017
ScatterNet Hybrid Deep Learning (SHDL) Network For Object Classification
ScatterNet Hybrid Deep Learning (SHDL) Network For Object Classification
Amarjot Singh
N. Kingsbury
9
19
0
30 Aug 2017
Recent Advances in the Applications of Convolutional Neural Networks to
  Medical Image Contour Detection
Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection
Zizhao Zhang
Fuyong Xing
H. Su
Xiaoshuang Shi
Ling Yang
AAML
38
13
0
24 Aug 2017
Non-linear Convolution Filters for CNN-based Learning
Non-linear Convolution Filters for CNN-based Learning
Georgios Zoumpourlis
Alexandros Doumanoglou
N. Vretos
P. Daras
32
93
0
23 Aug 2017
Learning Anytime Predictions in Neural Networks via Adaptive Loss
  Balancing
Learning Anytime Predictions in Neural Networks via Adaptive Loss Balancing
Hanzhang Hu
Debadeepta Dey
M. Hebert
J. Andrew Bagnell
22
6
0
22 Aug 2017
Practical Block-wise Neural Network Architecture Generation
Practical Block-wise Neural Network Architecture Generation
Zhaobai Zhong
Junjie Yan
Wei Wu
Jing Shao
Cheng-Lin Liu
19
126
0
18 Aug 2017
SMASH: One-Shot Model Architecture Search through HyperNetworks
SMASH: One-Shot Model Architecture Search through HyperNetworks
Andrew Brock
Theodore Lim
J. Ritchie
Nick Weston
25
761
0
17 Aug 2017
Random Erasing Data Augmentation
Random Erasing Data Augmentation
Zhun Zhong
Liang Zheng
Guoliang Kang
Shaozi Li
Yi Yang
11
3,596
0
16 Aug 2017
Improved Regularization of Convolutional Neural Networks with Cutout
Improved Regularization of Convolutional Neural Networks with Cutout
Terrance Devries
Graham W. Taylor
14
3,721
0
15 Aug 2017
Rocket Launching: A Universal and Efficient Framework for Training
  Well-performing Light Net
Rocket Launching: A Universal and Efficient Framework for Training Well-performing Light Net
Guorui Zhou
Ying Fan
Runpeng Cui
Weijie Bian
Xiaoqiang Zhu
Kun Gai
29
115
0
14 Aug 2017
TandemNet: Distilling Knowledge from Medical Images Using Diagnostic
  Reports as Optional Semantic References
TandemNet: Distilling Knowledge from Medical Images Using Diagnostic Reports as Optional Semantic References
Zizhao Zhang
Pingjun Chen
Manish Sapkota
Ling Yang
MedIm
18
67
0
10 Aug 2017
Learning Feature Pyramids for Human Pose Estimation
Learning Feature Pyramids for Human Pose Estimation
Wei Yang
Shuang Li
Wanli Ouyang
Hongsheng Li
Xiaogang Wang
3DH
31
490
0
03 Aug 2017
Deep Asymmetric Multi-task Feature Learning
Deep Asymmetric Multi-task Feature Learning
Haebeom Lee
Eunho Yang
Sung Ju Hwang
12
44
0
01 Aug 2017
Streaming Architecture for Large-Scale Quantized Neural Networks on an
  FPGA-Based Dataflow Platform
Streaming Architecture for Large-Scale Quantized Neural Networks on an FPGA-Based Dataflow Platform
Chaim Baskin
Natan Liss
Evgenii Zheltonozhskii
A. Bronstein
A. Mendelson
GNN
MQ
42
35
0
31 Jul 2017
Analysis and Optimization of Convolutional Neural Network Architectures
Analysis and Optimization of Convolutional Neural Network Architectures
Martin Thoma
30
72
0
31 Jul 2017
A Downsampled Variant of ImageNet as an Alternative to the CIFAR
  datasets
A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets
P. Chrabaszcz
I. Loshchilov
Frank Hutter
SSeg
OOD
51
635
0
27 Jul 2017
Relative Depth Order Estimation Using Multi-scale Densely Connected
  Convolutional Networks
Relative Depth Order Estimation Using Multi-scale Densely Connected Convolutional Networks
Ruoxi Deng
Tianqi Zhao
Chunhua Shen
S. Liu
3DV
3DPC
36
4
0
25 Jul 2017
PatchShuffle Regularization
PatchShuffle Regularization
Guoliang Kang
Xuanyi Dong
Liang Zheng
Yi Yang
24
74
0
22 Jul 2017
A Multi-Scale CNN and Curriculum Learning Strategy for Mammogram
  Classification
A Multi-Scale CNN and Curriculum Learning Strategy for Mammogram Classification
William Lotter
Greg Sorensen
David D. Cox
35
141
0
21 Jul 2017
Deep Layer Aggregation
Deep Layer Aggregation
Feng Yu
Dequan Wang
Evan Shelhamer
Trevor Darrell
AI4CE
FAtt
45
1,311
0
20 Jul 2017
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600
  Papers Survey
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600 Papers Survey
Hirokatsu Kataoka
Soma Shirakabe
Yun He
S. Ueta
Teppei Suzuki
...
Ryousuke Takasawa
Masataka Fuchida
Yudai Miyashita
Kazushige Okayasu
Yuta Matsuzaki
30
1
0
20 Jul 2017
Deformable Part-based Fully Convolutional Network for Object Detection
Deformable Part-based Fully Convolutional Network for Object Detection
Taylor Mordan
Nicolas Thome
Matthieu Cord
Gilles Hénaff
ObjD
18
15
0
19 Jul 2017
Beyond Forward Shortcuts: Fully Convolutional Master-Slave Networks
  (MSNets) with Backward Skip Connections for Semantic Segmentation
Beyond Forward Shortcuts: Fully Convolutional Master-Slave Networks (MSNets) with Backward Skip Connections for Semantic Segmentation
Abrar H. Abdulnabi
Stefan Winkler
G. Wang
27
6
0
18 Jul 2017
Efficient Architecture Search by Network Transformation
Efficient Architecture Search by Network Transformation
Han Cai
Tianyao Chen
Weinan Zhang
Yong Yu
Jun Wang
OOD
3DV
34
67
0
16 Jul 2017
Guiding InfoGAN with Semi-Supervision
Guiding InfoGAN with Semi-Supervision
Adrian Spurr
Emre Aksan
Otmar Hilliges
GAN
34
46
0
14 Jul 2017
Interleaved Group Convolutions for Deep Neural Networks
Interleaved Group Convolutions for Deep Neural Networks
Ting Zhang
Guo-Jun Qi
Bin Xiao
Jingdong Wang
36
81
0
10 Jul 2017
MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis
  Network
MDNet: A Semantically and Visually Interpretable Medical Image Diagnosis Network
Zizhao Zhang
Yuanpu Xie
Fuyong Xing
M. McGough
Ling Yang
MedIm
21
301
0
08 Jul 2017
Dual Path Networks
Dual Path Networks
Yunpeng Chen
Jianan Li
Huaxin Xiao
Xiaojie Jin
Shuicheng Yan
Jiashi Feng
36
827
0
06 Jul 2017
Data-Driven Sparse Structure Selection for Deep Neural Networks
Data-Driven Sparse Structure Selection for Deep Neural Networks
Zehao Huang
Naiyan Wang
53
558
0
05 Jul 2017
Generalised Wasserstein Dice Score for Imbalanced Multi-class
  Segmentation using Holistic Convolutional Networks
Generalised Wasserstein Dice Score for Imbalanced Multi-class Segmentation using Holistic Convolutional Networks
Lucas Fidon
Wenqi Li
Luis C. García-Peraza-Herrera
J. Ekanayake
N. Kitchen
Sebastien Ourselin
Tom Kamiel Magda Vercauteren
SSeg
32
149
0
03 Jul 2017
Parle: parallelizing stochastic gradient descent
Parle: parallelizing stochastic gradient descent
Pratik Chaudhari
Carlo Baldassi
R. Zecchina
Stefano Soatto
Ameet Talwalkar
Adam M. Oberman
ODL
FedML
37
21
0
03 Jul 2017
GM-Net: Learning Features with More Efficiency
GM-Net: Learning Features with More Efficiency
Yujia Chen
Ce Li
24
6
0
21 Jun 2017
Rethinking Atrous Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
62
8,388
0
17 Jun 2017
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