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Identity Mappings in Deep Residual Networks
v1v2v3 (latest)

Identity Mappings in Deep Residual Networks

16 March 2016
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
ArXiv (abs)PDFHTMLGithub (917★)

Papers citing "Identity Mappings in Deep Residual Networks"

50 / 3,571 papers shown
Title
Modulating and attending the source image during encoding improves
  Multimodal Translation
Modulating and attending the source image during encoding improves Multimodal Translation
Jean-Benoit Delbrouck
Stéphane Dupont
69
20
0
09 Dec 2017
Deep Koalarization: Image Colorization using CNNs and
  Inception-ResNet-v2
Deep Koalarization: Image Colorization using CNNs and Inception-ResNet-v2
Federico Baldassarre
Diego Gonzalez Morin
Lucas Rodés-Guirao
59
104
0
09 Dec 2017
Deep Learning for IoT Big Data and Streaming Analytics: A Survey
Deep Learning for IoT Big Data and Streaming Analytics: A Survey
M. Mohammadi
Ala I. Al-Fuqaha
Sameh Sorour
Mohsen Guizani
114
1,062
0
09 Dec 2017
Neumann Optimizer: A Practical Optimization Algorithm for Deep Neural
  Networks
Neumann Optimizer: A Practical Optimization Algorithm for Deep Neural Networks
Shankar Krishnan
Ying Xiao
Rif A. Saurous
ODL
45
20
0
08 Dec 2017
Defense against Adversarial Attacks Using High-Level Representation
  Guided Denoiser
Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser
Fangzhou Liao
Ming Liang
Yinpeng Dong
Tianyu Pang
Xiaolin Hu
Jun Zhu
112
893
0
08 Dec 2017
Chaining Identity Mapping Modules for Image Denoising
Chaining Identity Mapping Modules for Image Denoising
Saeed Anwar
C. P. Huynh
Fatih Porikli
62
11
0
08 Dec 2017
Super-FAN: Integrated facial landmark localization and super-resolution
  of real-world low resolution faces in arbitrary poses with GANs
Super-FAN: Integrated facial landmark localization and super-resolution of real-world low resolution faces in arbitrary poses with GANs
Adrian Bulat
Georgios Tzimiropoulos
SupR
84
306
0
07 Dec 2017
Incremental Learning in Deep Convolutional Neural Networks Using Partial
  Network Sharing
Incremental Learning in Deep Convolutional Neural Networks Using Partial Network Sharing
Syed Shakib Sarwar
Aayush Ankit
Kaushik Roy
CLL
97
109
0
07 Dec 2017
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
In-Place Activated BatchNorm for Memory-Optimized Training of DNNs
Samuel Rota Buló
Lorenzo Porzi
Peter Kontschieder
119
357
0
07 Dec 2017
OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for
  Deep Learning
OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning
José Lezama
Qiang Qiu
Pablo Musé
Guillermo Sapiro
84
78
0
05 Dec 2017
Learning Sparse Neural Networks through $L_0$ Regularization
Learning Sparse Neural Networks through L0L_0L0​ Regularization
Christos Louizos
Max Welling
Diederik P. Kingma
502
1,150
0
04 Dec 2017
Compressed Video Action Recognition
Compressed Video Action Recognition
Chao-Yuan Wu
Manzil Zaheer
Hexiang Hu
R. Manmatha
Alex Smola
Philipp Krahenbuhl
184
325
0
02 Dec 2017
Taming Adversarial Domain Transfer with Structural Constraints for Image
  Enhancement
Taming Adversarial Domain Transfer with Structural Constraints for Image Enhancement
E. Vansteenkiste
Patrick Kern
GANDiffM
26
2
0
02 Dec 2017
SfSNet: Learning Shape, Reflectance and Illuminance of Faces in the Wild
SfSNet: Learning Shape, Reflectance and Illuminance of Faces in the Wild
Soumyadip Sengupta
Angjoo Kanazawa
Carlos D. Castillo
David Jacobs
CVBM3DH
115
320
0
02 Dec 2017
Learning to Segment Moving Objects
Learning to Segment Moving Objects
P. Tokmakov
Cordelia Schmid
Alahari Karteek
VOS
95
97
0
01 Dec 2017
Probabilistic Adaptive Computation Time
Probabilistic Adaptive Computation Time
Michael Figurnov
Artem Sobolev
Dmitry Vetrov
BDL
41
8
0
01 Dec 2017
Real-time Semantic Image Segmentation via Spatial Sparsity
Real-time Semantic Image Segmentation via Spatial Sparsity
Zifeng Wu
Chunhua Shen
Anton Van Den Hengel
SSeg
125
64
0
01 Dec 2017
Rank of Experts: Detection Network Ensemble
Rank of Experts: Detection Network Ensemble
Seung-Hwan Bae
Youngwan Lee
Y. Jo
Yuseok Bae
Joong-won Hwang
ObjD
49
5
0
01 Dec 2017
Measuring the tendency of CNNs to Learn Surface Statistical Regularities
Measuring the tendency of CNNs to Learn Surface Statistical Regularities
Jason Jo
Yoshua Bengio
AAML
89
250
0
30 Nov 2017
Convolutional Networks with Adaptive Inference Graphs
Convolutional Networks with Adaptive Inference Graphs
Andreas Veit
Serge J. Belongie
OODGNN
111
385
0
30 Nov 2017
Modeling Information Flow Through Deep Neural Networks
Modeling Information Flow Through Deep Neural Networks
Ahmad Chaddad
Behnaz Naisiri
M. Pedersoli
Eric Granger
Christian Desrosiers
Matthew Toews
25
5
0
29 Nov 2017
FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors
FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors
Yu Chen
Ying Tai
Xiaoming Liu
Chunhua Shen
Jian Yang
SupR
89
486
0
29 Nov 2017
Road Extraction by Deep Residual U-Net
Road Extraction by Deep Residual U-Net
Zhengxin Zhang
Qingjie Liu
Yunhong Wang
SSeg
99
2,146
0
29 Nov 2017
3D Semantic Segmentation with Submanifold Sparse Convolutional Networks
3D Semantic Segmentation with Submanifold Sparse Convolutional Networks
Benjamin Graham
Martin Engelcke
Laurens van der Maaten
3DPC
154
1,520
0
28 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
38
1
0
28 Nov 2017
Recurrent Generative Adversarial Networks for Proximal Learning and
  Automated Compressive Image Recovery
Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery
Morteza Mardani
Hatef Monajemi
Vardan Papyan
S. Vasanawala
D. Donoho
John M. Pauly
GANSupR
91
54
0
27 Nov 2017
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?
Kensho Hara
Hirokatsu Kataoka
Y. Satoh
3DPC
135
1,937
0
27 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
154
640
0
26 Nov 2017
Gradually Updated Neural Networks for Large-Scale Image Recognition
Gradually Updated Neural Networks for Large-Scale Image Recognition
Siyuan Qiao
Zhishuai Zhang
Wei Shen
Bo Wang
Alan Yuille
84
16
0
25 Nov 2017
CondenseNet: An Efficient DenseNet using Learned Group Convolutions
CondenseNet: An Efficient DenseNet using Learned Group Convolutions
Gao Huang
Shichen Liu
Laurens van der Maaten
Kilian Q. Weinberger
131
799
0
25 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
130
72
0
23 Nov 2017
Regularization of Deep Neural Networks with Spectral Dropout
Regularization of Deep Neural Networks with Spectral Dropout
Salman Khan
Munawar Hayat
Fatih Porikli
70
103
0
23 Nov 2017
End-to-End Supervised Product Quantization for Image Search and
  Retrieval
End-to-End Supervised Product Quantization for Image Search and Retrieval
Benjamin Klein
Lior Wolf
MQ
74
65
0
23 Nov 2017
Train, Diagnose and Fix: Interpretable Approach for Fine-grained Action
  Recognition
Train, Diagnose and Fix: Interpretable Approach for Fine-grained Action Recognition
Jingxuan Hou
Tae Soo Kim
A. Reiter
18
1
0
22 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
52
8
0
22 Nov 2017
Identifying Most Walkable Direction for Navigation in an Outdoor
  Environment
Identifying Most Walkable Direction for Navigation in an Outdoor Environment
Sachin Mehta
Hannaneh Hajishirzi
Linda G. Shapiro
55
9
0
21 Nov 2017
Convolutional Networks for Object Category and 3D Pose Estimation from
  2D Images
Convolutional Networks for Object Category and 3D Pose Estimation from 2D Images
S. Mahendran
Haider Ali
René Vidal
25
2
0
20 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
80
366
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
BDLODL
70
6
0
20 Nov 2017
Learning Aggregated Transmission Propagation Networks for Haze Removal
  and Beyond
Learning Aggregated Transmission Propagation Networks for Haze Removal and Beyond
Risheng Liu
Xin-Yue Fan
Minjun Hou
Zhiying Jiang
Zhongxuan Luo
Lei Zhang
67
98
0
18 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
74
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 Li
F. Li
81
330
0
17 Nov 2017
Mobile Video Object Detection with Temporally-Aware Feature Maps
Mobile Video Object Detection with Temporally-Aware Feature Maps
Mason Liu
Menglong Zhu
ObjD
77
197
0
17 Nov 2017
Apprentice: Using Knowledge Distillation Techniques To Improve
  Low-Precision Network Accuracy
Apprentice: Using Knowledge Distillation Techniques To Improve Low-Precision Network Accuracy
Asit K. Mishra
Debbie Marr
FedML
74
331
0
15 Nov 2017
AOGNets: Compositional Grammatical Architectures for Deep Learning
AOGNets: Compositional Grammatical Architectures for Deep Learning
Xilai Li
Xi Song
Tianfu Wu
72
26
0
15 Nov 2017
Deep Inception-Residual Laplacian Pyramid Networks for Accurate Single
  Image Super-Resolution
Deep Inception-Residual Laplacian Pyramid Networks for Accurate Single Image Super-Resolution
Yongliang Tang
W. Gong
Xi Chen
Weihong Li
SupR
41
26
0
15 Nov 2017
Data Augmentation Generative Adversarial Networks
Data Augmentation Generative Adversarial Networks
Antreas Antoniou
Amos Storkey
Harrison Edwards
MedImGAN
185
1,076
0
12 Nov 2017
Towards ECDSA key derivation from deep embeddings for novel Blockchain
  applications
Towards ECDSA key derivation from deep embeddings for novel Blockchain applications
C. Perone
29
0
0
11 Nov 2017
Poverty Prediction with Public Landsat 7 Satellite Imagery and Machine
  Learning
Poverty Prediction with Public Landsat 7 Satellite Imagery and Machine Learning
Anthony Perez
Christopher Yeh
G. Azzari
Marshall Burke
David B. Lobell
Stefano Ermon
66
62
0
10 Nov 2017
Deep Hyperspherical Learning
Deep Hyperspherical Learning
Weiyang Liu
Yanming Zhang
Xingguo Li
Zhen Liu
Bo Dai
T. Zhao
Le Song
91
136
0
08 Nov 2017
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