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Deep Residual Learning for Image Recognition

Deep Residual Learning for Image Recognition

10 December 2015
Kaiming He
X. Zhang
Shaoqing Ren
Jian-jun Sun
    MedIm
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Papers citing "Deep Residual Learning for Image Recognition"

50 / 18,187 papers shown
Title
WaveNet: A Generative Model for Raw Audio
WaveNet: A Generative Model for Raw Audio
Aaron van den Oord
Sander Dieleman
Heiga Zen
Karen Simonyan
Oriol Vinyals
Alex Graves
Nal Kalchbrenner
A. Senior
Koray Kavukcuoglu
DiffM
21
7,316
0
12 Sep 2016
Sensor-based Gait Parameter Extraction with Deep Convolutional Neural
  Networks
Sensor-based Gait Parameter Extraction with Deep Convolutional Neural Networks
J. Hannink
T. Kautz
C. Pasluosta
Karl-Gunter Gasmann
J. Klucken
Björn Eskofier
17
159
0
12 Sep 2016
What makes ImageNet good for transfer learning?
What makes ImageNet good for transfer learning?
Minyoung Huh
Pulkit Agrawal
Alexei A. Efros
OOD
SSeg
VLM
SSL
19
670
0
30 Aug 2016
Multi-Class Multi-Object Tracking using Changing Point Detection
Multi-Class Multi-Object Tracking using Changing Point Detection
Byungjae Lee
Enkhbayar Erdenee
SongGuo Jin
P. Rhee
VOT
6
25
0
30 Aug 2016
Benchmarking State-of-the-Art Deep Learning Software Tools
Benchmarking State-of-the-Art Deep Learning Software Tools
S. Shi
Qiang-qiang Wang
Pengfei Xu
Xiaowen Chu
BDL
9
327
0
25 Aug 2016
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
247
36,356
0
25 Aug 2016
Local Binary Convolutional Neural Networks
Local Binary Convolutional Neural Networks
Felix Juefei Xu
Vishnu Naresh Boddeti
Marios Savvides
MQ
20
251
0
22 Aug 2016
Full Resolution Image Compression with Recurrent Neural Networks
Full Resolution Image Compression with Recurrent Neural Networks
G. Toderici
Damien Vincent
Nick Johnston
S. Hwang
David C. Minnen
Joel Shor
Michele Covell
GAN
11
824
0
18 Aug 2016
Mollifying Networks
Mollifying Networks
Çağlar Gülçehre
Marcin Moczulski
Francesco Visin
Yoshua Bengio
13
46
0
17 Aug 2016
Design of Efficient Convolutional Layers using Single Intra-channel
  Convolution, Topological Subdivisioning and Spatial "Bottleneck" Structure
Design of Efficient Convolutional Layers using Single Intra-channel Convolution, Topological Subdivisioning and Spatial "Bottleneck" Structure
Min Wang
Baoyuan Liu
H. Foroosh
11
51
0
15 Aug 2016
Generative and Discriminative Voxel Modeling with Convolutional Neural
  Networks
Generative and Discriminative Voxel Modeling with Convolutional Neural Networks
Andrew Brock
Theodore Lim
J. Ritchie
Nick Weston
13
577
0
15 Aug 2016
The Importance of Skip Connections in Biomedical Image Segmentation
The Importance of Skip Connections in Biomedical Image Segmentation
M. Drozdzal
Eugene Vorontsov
Gabriel Chartrand
Samuel Kadoury
C. Pal
MedIm
13
1,033
0
14 Aug 2016
Stacked Approximated Regression Machine: A Simple Deep Learning Approach
Stacked Approximated Regression Machine: A Simple Deep Learning Approach
Zhangyang Wang
Shiyu Chang
Qing Ling
Shuai Huang
Xia Hu
Honghui Shi
Thomas S. Huang
BDL
10
2
0
14 Aug 2016
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image
  Denoising
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
K. Zhang
W. Zuo
Yunjin Chen
Deyu Meng
Lei Zhang
SupR
21
6,912
0
13 Aug 2016
Learning Structured Sparsity in Deep Neural Networks
Learning Structured Sparsity in Deep Neural Networks
W. Wen
Chunpeng Wu
Yandan Wang
Yiran Chen
Hai Helen Li
16
2,319
0
12 Aug 2016
Faster Training of Very Deep Networks Via p-Norm Gates
Faster Training of Very Deep Networks Via p-Norm Gates
Trang Pham
T. Tran
Dinh Q. Phung
Svetha Venkatesh
AI4CE
11
19
0
11 Aug 2016
Solving Visual Madlibs with Multiple Cues
Solving Visual Madlibs with Multiple Cues
Tatiana Tommasi
Arun Mallya
Bryan A. Plummer
Svetlana Lazebnik
Alexander C. Berg
Tamara L. Berg
23
18
0
11 Aug 2016
Hierarchical Character-Word Models for Language Identification
Hierarchical Character-Word Models for Language Identification
Aaron Jaech
George Mulcaire
Shobhit Hathi
Mari Ostendorf
Noah A. Smith
17
43
0
10 Aug 2016
Residual Networks of Residual Networks: Multilevel Residual Networks
Residual Networks of Residual Networks: Multilevel Residual Networks
Ke Zhang
Miao Sun
T. Han
Xingfang Yuan
Liru Guo
Tao Liu
16
302
0
09 Aug 2016
Facial Expression Recognition Using a Hybrid CNN-SIFT Aggregator
Facial Expression Recognition Using a Hybrid CNN-SIFT Aggregator
M. Al-Shabi
W. Cheah
M. G. K. Ong
CVBM
6
124
0
09 Aug 2016
Convolutional Oriented Boundaries
Convolutional Oriented Boundaries
Kevis-Kokitsi Maninis
Jordi Pont-Tuset
Pablo Arbelaez
Luc Van Gool
13
231
0
09 Aug 2016
Discriminatively Trained Latent Ordinal Model for Video Classification
Discriminatively Trained Latent Ordinal Model for Video Classification
Karan Sikka
Gaurav Sharma
11
11
0
08 Aug 2016
Deep Learning a Grasp Function for Grasping under Gripper Pose
  Uncertainty
Deep Learning a Grasp Function for Grasping under Gripper Pose Uncertainty
Edward Johns
Stefan Leutenegger
Andrew J. Davison
OOD
11
258
0
07 Aug 2016
Bootstrapping Face Detection with Hard Negative Examples
Bootstrapping Face Detection with Hard Negative Examples
Shaohua Wan
Zhijun Chen
Zhang Tao
Bo Zhang
Kong-kat Wong
CVBM
ObjD
22
60
0
07 Aug 2016
Training Deep Networks for Facial Expression Recognition with
  Crowd-Sourced Label Distribution
Training Deep Networks for Facial Expression Recognition with Crowd-Sourced Label Distribution
Emad Barsoum
Cha Zhang
Cristian Canton Ferrer
Zhengyou Zhang
28
706
0
03 Aug 2016
CUHK & ETHZ & SIAT Submission to ActivityNet Challenge 2016
CUHK & ETHZ & SIAT Submission to ActivityNet Challenge 2016
Yuanjun Xiong
Limin Wang
Zhe Wang
Bowen Zhang
Hang Song
Wei Li
Dahua Lin
Yu Qiao
Luc Van Gool
Xiaoou Tang
25
146
0
02 Aug 2016
Modeling Context in Referring Expressions
Modeling Context in Referring Expressions
Licheng Yu
Patrick Poirson
Shan Yang
Alexander C. Berg
Tamara L. Berg
28
1,223
0
31 Jul 2016
Localizing and Orienting Street Views Using Overhead Imagery
Localizing and Orienting Street Views Using Overhead Imagery
Nam N. Vo
James Hays
16
245
0
30 Jul 2016
A Deep Primal-Dual Network for Guided Depth Super-Resolution
A Deep Primal-Dual Network for Guided Depth Super-Resolution
Gernot Riegler
David Ferstl
M. Rüther
Horst Bischof
SupR
MDE
13
89
0
28 Jul 2016
Gated Siamese Convolutional Neural Network Architecture for Human
  Re-Identification
Gated Siamese Convolutional Neural Network Architecture for Human Re-Identification
Rahul Rama Varior
Mrinal Haloi
G. Wang
8
794
0
28 Jul 2016
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
V. Papyan
Yaniv Romano
Michael Elad
48
284
0
27 Jul 2016
End-to-End Image Super-Resolution via Deep and Shallow Convolutional
  Networks
End-to-End Image Super-Resolution via Deep and Shallow Convolutional Networks
Yifan Wang
Lijun Wang
Hongyu Wang
P. Li
SupR
OOD
21
140
0
26 Jul 2016
DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation
DeepWarp: Photorealistic Image Resynthesis for Gaze Manipulation
Yaroslav Ganin
Daniil Kononenko
Diana Sungatullina
Victor Lempitsky
CVBM
14
122
0
25 Jul 2016
Unsupervised Learning from Continuous Video in a Scalable Predictive
  Recurrent Network
Unsupervised Learning from Continuous Video in a Scalable Predictive Recurrent Network
Filip Piekniewski
Patryk A. Laurent
Csaba Petre
Micah Richert
Dimitry Fisher
Todd Hylton
10
17
0
22 Jul 2016
Dataset and Neural Recurrent Sequence Labeling Model for Open-Domain
  Factoid Question Answering
Dataset and Neural Recurrent Sequence Labeling Model for Open-Domain Factoid Question Answering
Peng Li
Wei Li
Zhen He
Xuguang Wang
Ying Cao
Jie Zhou
W. Xu
11
93
0
21 Jul 2016
Deep learning trends for focal brain pathology segmentation in MRI
Deep learning trends for focal brain pathology segmentation in MRI
Mohammad Havaei
N. Guizard
Hugo Larochelle
Pierre-Marc Jodoin
OOD
9
83
0
18 Jul 2016
Playing Atari Games with Deep Reinforcement Learning and Human
  Checkpoint Replay
Playing Atari Games with Deep Reinforcement Learning and Human Checkpoint Replay
Ionel-Alexandru Hosu
Traian Rebedea
16
97
0
18 Jul 2016
Learning to Decode Linear Codes Using Deep Learning
Learning to Decode Linear Codes Using Deep Learning
Eliya Nachmani
Yair Be’ery
D. Burshtein
81
456
0
16 Jul 2016
DSD: Dense-Sparse-Dense Training for Deep Neural Networks
DSD: Dense-Sparse-Dense Training for Deep Neural Networks
Song Han
Jeff Pool
Sharan Narang
Huizi Mao
Enhao Gong
...
Peter Vajda
Manohar Paluri
J. Tran
Bryan Catanzaro
W. Dally
CVBM
25
83
0
15 Jul 2016
Accelerating Eulerian Fluid Simulation With Convolutional Networks
Accelerating Eulerian Fluid Simulation With Convolutional Networks
Jonathan Tompson
Kristofer Schlachter
Pablo Sprechmann
Ken Perlin
41
528
0
13 Jul 2016
DeepBinaryMask: Learning a Binary Mask for Video Compressive Sensing
DeepBinaryMask: Learning a Binary Mask for Video Compressive Sensing
Michael Iliadis
L. Spinoulas
Aggelos K. Katsaggelos
18
74
0
12 Jul 2016
Acoustic scene classification using convolutional neural network and
  multiple-width frequency-delta data augmentation
Acoustic scene classification using convolutional neural network and multiple-width frequency-delta data augmentation
Yoonchang Han
Kyogu Lee
33
48
0
08 Jul 2016
VideoLSTM Convolves, Attends and Flows for Action Recognition
VideoLSTM Convolves, Attends and Flows for Action Recognition
Zhenyang Li
E. Gavves
Mihir Jain
Cees G. M. Snoek
11
462
0
06 Jul 2016
AdaNet: Adaptive Structural Learning of Artificial Neural Networks
AdaNet: Adaptive Structural Learning of Artificial Neural Networks
Corinna Cortes
X. Gonzalvo
Vitaly Kuznetsov
M. Mohri
Scott Yang
13
282
0
05 Jul 2016
Group Sparse Regularization for Deep Neural Networks
Group Sparse Regularization for Deep Neural Networks
Simone Scardapane
Danilo Comminiello
Amir Hussain
A. Uncini
22
462
0
02 Jul 2016
Supervised learning based on temporal coding in spiking neural networks
Supervised learning based on temporal coding in spiking neural networks
Hesham Mostafa
13
348
0
27 Jun 2016
Improved Recurrent Neural Networks for Session-based Recommendations
Improved Recurrent Neural Networks for Session-based Recommendations
Yong Kiam Tan
Xinxing Xu
Yong-Jin Liu
10
730
0
27 Jun 2016
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles
Stochastic Multiple Choice Learning for Training Diverse Deep Ensembles
Stefan Lee
Senthil Purushwalkam
Michael Cogswell
Viresh Ranjan
David J. Crandall
Dhruv Batra
BDL
UQCV
OOD
15
175
0
24 Jun 2016
Wide & Deep Learning for Recommender Systems
Wide & Deep Learning for Recommender Systems
Heng-Tze Cheng
L. Koc
Jeremiah Harmsen
T. Shaked
Tushar Chandra
...
Zakaria Haque
Lichan Hong
Vihan Jain
Xiaobing Liu
Hemal Shah
HAI
VLM
14
3,600
0
24 Jun 2016
Captioning Images with Diverse Objects
Captioning Images with Diverse Objects
Subhashini Venugopalan
Lisa Anne Hendricks
Marcus Rohrbach
Raymond J. Mooney
Trevor Darrell
Kate Saenko
VLM
22
178
0
24 Jun 2016
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