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Identity Mappings in Deep Residual Networks

Identity Mappings in Deep Residual Networks

16 March 2016
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
ArXivPDFHTML

Papers citing "Identity Mappings in Deep Residual Networks"

50 / 1,412 papers shown
Title
Road Extraction by Deep Residual U-Net
Road Extraction by Deep Residual U-Net
Zhengxin Zhang
Qingjie Liu
Yunhong Wang
SSeg
25
2,098
0
29 Nov 2017
Learning Channel Inter-dependencies at Multiple Scales on Dense Networks
  for Face Recognition
Learning Channel Inter-dependencies at Multiple Scales on Dense Networks for Face Recognition
Qiangchang Wang
G. Guo
Mohammad Iqbal Nouyed
CVBM
32
1
0
28 Nov 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
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
Light-Head R-CNN: In Defense of Two-Stage Object Detector
Light-Head R-CNN: In Defense of Two-Stage Object Detector
Zeming Li
Chao Peng
Gang Yu
Xiangyu Zhang
Yangdong Deng
Jian Sun
ObjD
22
364
0
20 Nov 2017
Block-Cyclic Stochastic Coordinate Descent for Deep Neural Networks
Block-Cyclic Stochastic Coordinate Descent for Deep Neural Networks
Kensuke Nakamura
Stefano Soatto
Byung-Woo Hong
BDL
ODL
43
6
0
20 Nov 2017
xUnit: Learning a Spatial Activation Function for Efficient Image
  Restoration
xUnit: Learning a Spatial Activation Function for Efficient Image Restoration
I. Kligvasser
Tamar Rott Shaham
T. Michaeli
21
58
0
17 Nov 2017
Thoracic Disease Identification and Localization with Limited
  Supervision
Thoracic Disease Identification and Localization with Limited Supervision
Zhe Li
Chong Wang
Mei Han
Yuan Xue
Wei Wei
Li-Jia Li
F. Li
27
329
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
Data Augmentation Generative Adversarial Networks
Data Augmentation Generative Adversarial Networks
Antreas Antoniou
Amos Storkey
Harrison Edwards
MedIm
GAN
65
1,066
0
12 Nov 2017
Moonshine: Distilling with Cheap Convolutions
Moonshine: Distilling with Cheap Convolutions
Elliot J. Crowley
Gavia Gray
Amos Storkey
27
120
0
07 Nov 2017
Towards Effective Low-bitwidth Convolutional Neural Networks
Towards Effective Low-bitwidth Convolutional Neural Networks
Bohan Zhuang
Chunhua Shen
Mingkui Tan
Lingqiao Liu
Ian Reid
MQ
33
231
0
01 Nov 2017
How deep learning works --The geometry of deep learning
How deep learning works --The geometry of deep learning
Xiao Dong
Jiasong Wu
Ling Zhou
GNN
35
8
0
30 Oct 2017
Cascade Region Proposal and Global Context for Deep Object Detection
Cascade Region Proposal and Global Context for Deep Object Detection
Qiaoyong Zhong
Chao Li
Yingying Zhang
Di Xie
Shicai Yang
Shiliang Pu
ObjD
26
55
0
30 Oct 2017
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
87
9,601
0
25 Oct 2017
Human-in-the-loop Artificial Intelligence
Human-in-the-loop Artificial Intelligence
Fabio Massimo Zanzotto
35
265
0
23 Oct 2017
Boosting Adversarial Attacks with Momentum
Boosting Adversarial Attacks with Momentum
Yinpeng Dong
Fangzhou Liao
Tianyu Pang
Hang Su
Jun Zhu
Xiaolin Hu
Jianguo Li
AAML
26
83
0
17 Oct 2017
Regularizing Deep Neural Networks by Noise: Its Interpretation and
  Optimization
Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization
Hyeonwoo Noh
Tackgeun You
Jonghwan Mun
Bohyung Han
NoLa
29
197
0
14 Oct 2017
Mixed Precision Training
Mixed Precision Training
Paulius Micikevicius
Sharan Narang
Jonah Alben
G. Diamos
Erich Elsen
...
Boris Ginsburg
Michael Houston
Oleksii Kuchaiev
Ganesh Venkatesh
Hao Wu
90
1,764
0
10 Oct 2017
Age Group and Gender Estimation in the Wild with Deep RoR Architecture
Age Group and Gender Estimation in the Wild with Deep RoR Architecture
Ke Zhang
Ce Gao
Liru Guo
Miao Sun
Xingfang Yuan
T. Han
Zhenbing Zhao
Baogang Li
CVBM
16
113
0
09 Oct 2017
Riemannian approach to batch normalization
Riemannian approach to batch normalization
Minhyung Cho
Jaehyung Lee
29
93
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
Semantic Segmentation from Limited Training Data
Semantic Segmentation from Limited Training Data
Anton Milan
Trung T. Pham
B. V. Kumar
D. Morrison
Adam W. Tow
...
Christopher F. Lehnert
G. Lin
Ian Reid
Peter Corke
Jurgen Leitner
16
51
0
22 Sep 2017
When 3D-Aided 2D Face Recognition Meets Deep Learning: An extended UR2D
  for Pose-Invariant Face Recognition
When 3D-Aided 2D Face Recognition Meets Deep Learning: An extended UR2D for Pose-Invariant Face Recognition
Xiang Xu
Pengfei Dou
Ha A. Le
I. Kakadiaris
CVBM
24
2
0
19 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
DeepFense: Online Accelerated Defense Against Adversarial Deep Learning
DeepFense: Online Accelerated Defense Against Adversarial Deep Learning
B. Rouhani
Mohammad Samragh
Mojan Javaheripi
T. Javidi
F. Koushanfar
AAML
12
15
0
08 Sep 2017
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
72
26,038
0
05 Sep 2017
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and
  Land Cover Classification
EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification
P. Helber
B. Bischke
Andreas Dengel
Damian Borth
48
1,742
0
31 Aug 2017
On the Compressive Power of Deep Rectifier Networks for High Resolution
  Representation of Class Boundaries
On the Compressive Power of Deep Rectifier Networks for High Resolution Representation of Class Boundaries
Senjian An
Bennamoun
F. Boussaïd
20
2
0
24 Aug 2017
Self-explanatory Deep Salient Object Detection
Self-explanatory Deep Salient Object Detection
Huaxin Xiao
Jiashi Feng
Yunchao Wei
Maojun Zhang
XAI
FAtt
22
9
0
18 Aug 2017
Noisy Softmax: Improving the Generalization Ability of DCNN via
  Postponing the Early Softmax Saturation
Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation
Binghui Chen
Weihong Deng
Junping Du
25
125
0
12 Aug 2017
Tips and Tricks for Visual Question Answering: Learnings from the 2017
  Challenge
Tips and Tricks for Visual Question Answering: Learnings from the 2017 Challenge
Damien Teney
Peter Anderson
Xiaodong He
Anton Van Den Hengel
50
380
0
09 Aug 2017
MemNet: A Persistent Memory Network for Image Restoration
MemNet: A Persistent Memory Network for Image Restoration
Ying Tai
Jian Yang
Xiaoming Liu
Chunyan Xu
SupR
45
1,535
0
07 Aug 2017
Group Re-Identification via Unsupervised Transfer of Sparse Features
  Encoding
Group Re-Identification via Unsupervised Transfer of Sparse Features Encoding
G. Lisanti
N. Martinel
A. Bimbo
G. Foresti
29
52
0
28 Jul 2017
Tensor Regression Networks
Tensor Regression Networks
Jean Kossaifi
Zachary Chase Lipton
Arinbjorn Kolbeinsson
Aran Khanna
Tommaso Furlanello
Anima Anandkumar
3DV
43
145
0
26 Jul 2017
Memory-Efficient Implementation of DenseNets
Memory-Efficient Implementation of DenseNets
Geoff Pleiss
Danlu Chen
Gao Huang
Tongcheng Li
L. V. D. van der Maaten
Kilian Q. Weinberger
36
159
0
21 Jul 2017
Orthogonal and Idempotent Transformations for Learning Deep Neural
  Networks
Orthogonal and Idempotent Transformations for Learning Deep Neural Networks
Jingdong Wang
Yajie Xing
Kexin Zhang
Cha Zhang
166
2
0
19 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
33
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
L. Yang
MedIm
21
301
0
08 Jul 2017
Global optimality conditions for deep neural networks
Global optimality conditions for deep neural networks
Chulhee Yun
S. Sra
Ali Jadbabaie
128
117
0
08 Jul 2017
On the Compactness, Efficiency, and Representation of 3D Convolutional
  Networks: Brain Parcellation as a Pretext Task
On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task
Wenqi Li
Guotai Wang
Lucas Fidon
Sebastien Ourselin
M. Jorge Cardoso
Tom Kamiel Magda Vercauteren
3DV
30
337
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
Dual Supervised Learning
Dual Supervised Learning
Yingce Xia
Tao Qin
Wei-neng Chen
Jiang Bian
Nenghai Yu
Tie-Yan Liu
SSL
32
143
0
03 Jul 2017
Adversarial Image Alignment and Interpolation
Adversarial Image Alignment and Interpolation
Viren Jain
MedIm
25
9
0
30 Jun 2017
Spectrally-normalized margin bounds for neural networks
Spectrally-normalized margin bounds for neural networks
Peter L. Bartlett
Dylan J. Foster
Matus Telgarsky
ODL
74
1,200
0
26 Jun 2017
Sampling Matters in Deep Embedding Learning
Sampling Matters in Deep Embedding Learning
Chaoxia Wu
R. Manmatha
Alex Smola
Philipp Krahenbuhl
25
920
0
23 Jun 2017
GM-Net: Learning Features with More Efficiency
GM-Net: Learning Features with More Efficiency
Yujia Chen
Ce Li
21
6
0
21 Jun 2017
FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis
FeaStNet: Feature-Steered Graph Convolutions for 3D Shape Analysis
Nitika Verma
Edmond Boyer
Jakob Verbeek
3DPC
GNN
23
25
0
16 Jun 2017
FreezeOut: Accelerate Training by Progressively Freezing Layers
FreezeOut: Accelerate Training by Progressively Freezing Layers
Andrew Brock
Theodore Lim
J. Ritchie
Nick Weston
19
123
0
15 Jun 2017
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