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Deep Residual Learning for Image Recognition

Deep Residual Learning for Image Recognition

10 December 2015
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
    MedIm
ArXivPDFHTML

Papers citing "Deep Residual Learning for Image Recognition"

50 / 23,429 papers shown
Title
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
8
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
306
36,371
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
Lets keep it simple, Using simple architectures to outperform deeper and
  more complex architectures
Lets keep it simple, Using simple architectures to outperform deeper and more complex architectures
S. H. HasanPour
Mohammad Rouhani
Mohsen Fayyaz
Mohammad Sabokrou
18
118
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
28
824
0
18 Aug 2016
Mollifying Networks
Mollifying Networks
Çağlar Gülçehre
Marcin Moczulski
Francesco Visin
Yoshua Bengio
23
46
0
17 Aug 2016
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
27
8,440
0
16 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
19
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
24
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
35
1,035
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
15
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
Peng Sun
W. Zuo
Yunjin Chen
Deyu Meng
Lei Zhang
SupR
57
6,927
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
21
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
19
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
37
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
25
43
0
10 Aug 2016
Mining Fashion Outfit Composition Using An End-to-End Deep Learning
  Approach on Set Data
Mining Fashion Outfit Composition Using An End-to-End Deep Learning Approach on Set Data
Y. Li
Liangliang Cao
Jiang Zhu
Jiebo Luo
21
188
0
10 Aug 2016
Towards cross-lingual distributed representations without parallel text
  trained with adversarial autoencoders
Towards cross-lingual distributed representations without parallel text trained with adversarial autoencoders
Antonio Valerio Miceli Barone
8
120
0
09 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
303
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
19
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
21
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
16
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
30
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
50
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
33
146
0
02 Aug 2016
Exponential Family Embeddings
Exponential Family Embeddings
Maja R. Rudolph
Francisco J. R. Ruiz
Stephan Mandt
David M. Blei
22
107
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
1,227
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
21
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
23
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
15
795
0
28 Jul 2016
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
Convolutional Neural Networks Analyzed via Convolutional Sparse Coding
Vardan Papyan
Yaniv Romano
Michael Elad
59
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
24
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
22
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
12
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
Wenyuan Xu
24
93
0
21 Jul 2016
Training Skinny Deep Neural Networks with Iterative Hard Thresholding
  Methods
Training Skinny Deep Neural Networks with Iterative Hard Thresholding Methods
Xiaojie Jin
Xiao-Tong Yuan
Jiashi Feng
Shuicheng Yan
13
78
0
19 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
16
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
24
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
95
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
27
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
58
528
0
13 Jul 2016
Recurrent Highway Networks
Recurrent Highway Networks
J. Zilly
R. Srivastava
Jan Koutník
Jürgen Schmidhuber
13
413
0
12 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
29
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
35
463
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
29
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
Automated 5-year Mortality Prediction using Deep Learning and Radiomics
  Features from Chest Computed Tomography
Automated 5-year Mortality Prediction using Deep Learning and Radiomics Features from Chest Computed Tomography
G. Carneiro
Luke Oakden-Rayner
A. Bradley
Jacinto C. Nascimento
L. Palmer
17
27
0
01 Jul 2016
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