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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 / 28,201 papers shown
Title
Zero-Shot Visual Recognition via Bidirectional Latent Embedding
Zero-Shot Visual Recognition via Bidirectional Latent Embedding
Qian Wang
Ke Chen
BDL
33
164
0
07 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
50
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
31
283
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
35
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
22
27
0
01 Jul 2016
Image Restoration Using Convolutional Auto-encoders with Symmetric Skip
  Connections
Image Restoration Using Convolutional Auto-encoders with Symmetric Skip Connections
Xiao-Jiao Mao
Chunhua Shen
Yubin Yang
SupR
35
396
0
29 Jun 2016
Supervised learning based on temporal coding in spiking neural networks
Supervised learning based on temporal coding in spiking neural networks
Hesham Mostafa
31
350
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
26
733
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
33
176
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
113
3,612
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
27
178
0
24 Jun 2016
Hybrid Recommender System based on Autoencoders
Hybrid Recommender System based on Autoencoders
Florian Strub
Romaric Gaudel
Jérémie Mary
43
219
0
24 Jun 2016
Picture It In Your Mind: Generating High Level Visual Representations
  From Textual Descriptions
Picture It In Your Mind: Generating High Level Visual Representations From Textual Descriptions
F. Carrara
Andrea Esuli
T. Fagni
Fabrizio Falchi
Alejandro Moreo
DiffM
24
31
0
23 Jun 2016
Identifying individual facial expressions by deconstructing a neural
  network
Identifying individual facial expressions by deconstructing a neural network
F. Arbabzadah
G. Montavon
K. Müller
Wojciech Samek
CVBM
FAtt
30
31
0
23 Jun 2016
Neural Morphological Tagging from Characters for Morphologically Rich
  Languages
Neural Morphological Tagging from Characters for Morphologically Rich Languages
G. Heigold
G. Neumann
Josef van Genabith
3DV
35
25
0
21 Jun 2016
On Multiplicative Integration with Recurrent Neural Networks
On Multiplicative Integration with Recurrent Neural Networks
Yuhuai Wu
Saizheng Zhang
Yanzhe Zhang
Yoshua Bengio
Ruslan Salakhutdinov
34
154
0
21 Jun 2016
DeepWriter: A Multi-Stream Deep CNN for Text-independent Writer
  Identification
DeepWriter: A Multi-Stream Deep CNN for Text-independent Writer Identification
Linjie Xing
Yu Qiao
44
102
0
21 Jun 2016
Convolutional Residual Memory Networks
Convolutional Residual Memory Networks
Joel Ruben Antony Moniz
C. Pal
31
23
0
16 Jun 2016
Improving Variational Inference with Inverse Autoregressive Flow
Improving Variational Inference with Inverse Autoregressive Flow
Diederik P. Kingma
Tim Salimans
Rafal Jozefowicz
Xi Chen
Ilya Sutskever
Max Welling
BDL
DRL
58
1,799
0
15 Jun 2016
Optimization Methods for Large-Scale Machine Learning
Optimization Methods for Large-Scale Machine Learning
Léon Bottou
Frank E. Curtis
J. Nocedal
138
3,183
0
15 Jun 2016
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image
  Segmentation
V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation
Fausto Milletari
Nassir Navab
Seyed-Ahmad Ahmadi
165
8,568
0
15 Jun 2016
Omnivore: An Optimizer for Multi-device Deep Learning on CPUs and GPUs
Omnivore: An Optimizer for Multi-device Deep Learning on CPUs and GPUs
Stefan Hadjis
Ce Zhang
Ioannis Mitliagkas
Dan Iter
Christopher Ré
20
65
0
14 Jun 2016
Attend Refine Repeat: Active Box Proposal Generation via In-Out
  Localization
Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization
Spyridon Gidaris
N. Komodakis
ObjD
24
79
0
14 Jun 2016
Inverting face embeddings with convolutional neural networks
Inverting face embeddings with convolutional neural networks
A. Zhmoginov
Mark Sandler
3DH
CVBM
17
67
0
14 Jun 2016
Human Attention in Visual Question Answering: Do Humans and Deep
  Networks Look at the Same Regions?
Human Attention in Visual Question Answering: Do Humans and Deep Networks Look at the Same Regions?
Abhishek Das
Harsh Agrawal
C. L. Zitnick
Devi Parikh
Dhruv Batra
32
465
0
11 Jun 2016
Convolutional Sketch Inversion
Convolutional Sketch Inversion
Yağmur Güçlütürk
Umut Güçlü
R. Lier
Marcel van Gerven
CVBM
21
65
0
09 Jun 2016
Low-shot Visual Recognition by Shrinking and Hallucinating Features
Low-shot Visual Recognition by Shrinking and Hallucinating Features
Bharath Hariharan
Ross B. Girshick
VLM
30
49
0
09 Jun 2016
ENet: A Deep Neural Network Architecture for Real-Time Semantic
  Segmentation
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke
Abhishek Chaurasia
Sangpil Kim
Eugenio Culurciello
SSeg
235
2,059
0
07 Jun 2016
Neural Machine Translation with External Phrase Memory
Neural Machine Translation with External Phrase Memory
Yaohua Tang
Fandong Meng
Zhengdong Lu
Hang Li
Philip L. H. Yu
NAI
31
51
0
06 Jun 2016
Very Deep Convolutional Networks for Text Classification
Very Deep Convolutional Networks for Text Classification
Alexis Conneau
Holger Schwenk
Loïc Barrault
Yann LeCun
AI4CE
29
320
0
06 Jun 2016
Shallow Networks for High-Accuracy Road Object-Detection
Shallow Networks for High-Accuracy Road Object-Detection
Khalid Ashraf
Bichen Wu
F. Iandola
Matthew W. Moskewicz
Kurt Keutzer
ObjD
32
53
0
05 Jun 2016
Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations
Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations
David M. Krueger
Tegan Maharaj
János Kramár
Mohammad Pezeshki
Nicolas Ballas
Nan Rosemary Ke
Anirudh Goyal
Yoshua Bengio
Aaron Courville
C. Pal
21
317
0
03 Jun 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
92
18,058
0
02 Jun 2016
Face Detection with End-to-End Integration of a ConvNet and a 3D Model
Face Detection with End-to-End Integration of a ConvNet and a 3D Model
Yunzhu Li
Benyuan Sun
Tianfu Wu
Yizhou Wang
CVBM
3DH
27
129
0
02 Jun 2016
Deeper Depth Prediction with Fully Convolutional Residual Networks
Deeper Depth Prediction with Fully Convolutional Residual Networks
Iro Laina
Christian Rupprecht
Vasileios Belagiannis
Federico Tombari
Nassir Navab
3DV
MDE
24
1,819
0
01 Jun 2016
Automatic tagging using deep convolutional neural networks
Automatic tagging using deep convolutional neural networks
Keunwoo Choi
Gyorgy Fazekas
Mark Sandler
24
328
0
01 Jun 2016
Adversarial Feature Learning
Adversarial Feature Learning
Jiasen Lu
Philipp Krahenbuhl
Trevor Darrell
GAN
59
1,827
0
31 May 2016
A Neural Autoregressive Approach to Collaborative Filtering
A Neural Autoregressive Approach to Collaborative Filtering
Yin Zheng
Bangsheng Tang
Wenkui Ding
Hanning Zhou
BDL
21
223
0
31 May 2016
Parametric Exponential Linear Unit for Deep Convolutional Neural
  Networks
Parametric Exponential Linear Unit for Deep Convolutional Neural Networks
Ludovic Trottier
Philippe Giguère
B. Chaib-draa
41
199
0
30 May 2016
The Latin American Giant Observatory: a successful collaboration in
  Latin America based on Cosmic Rays and computer science domains
The Latin American Giant Observatory: a successful collaboration in Latin America based on Cosmic Rays and computer science domains
Hernán Asorey
R. Mayo-García
L. Núñez
M. Pascual
A. J. Rubio-Montero
M. Suárez-Durán
L. A. Torres-Niño
31
5
0
30 May 2016
Density estimation using Real NVP
Density estimation using Real NVP
Falong Shen
Jascha Sohl-Dickstein
Gang Zeng
DRL
35
44
0
27 May 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhehuai Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNN
AI4CE
161
18,275
0
27 May 2016
No bad local minima: Data independent training error guarantees for
  multilayer neural networks
No bad local minima: Data independent training error guarantees for multilayer neural networks
Daniel Soudry
Y. Carmon
19
235
0
26 May 2016
Robust Large Margin Deep Neural Networks
Robust Large Margin Deep Neural Networks
Jure Sokolić
Raja Giryes
Guillermo Sapiro
M. Rodrigues
28
307
0
26 May 2016
cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey
cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey
Hirokatsu Kataoka
Yudai Miyashita
Tomoaki K. Yamabe
Soma Shirakabe
Shin-ichi Sato
...
Kaori Abe
Takaaki Imanari
Naomichi Kobayashi
Shinichiro Morita
Akio Nakamura
24
2
0
26 May 2016
Discovering Causal Signals in Images
Discovering Causal Signals in Images
David Lopez-Paz
Robert Nishihara
Soumith Chintala
Bernhard Schölkopf
Léon Bottou
CML
19
223
0
26 May 2016
Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning
Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning
Soravit Changpinyo
Wei-Lun Chao
Fei Sha
VLM
35
177
0
26 May 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
97
3,649
0
26 May 2016
Deep Predictive Coding Networks for Video Prediction and Unsupervised
  Learning
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
William Lotter
Gabriel Kreiman
David D. Cox
SSL
52
929
0
25 May 2016
An Analysis of Deep Neural Network Models for Practical Applications
An Analysis of Deep Neural Network Models for Practical Applications
A. Canziani
Adam Paszke
Eugenio Culurciello
19
1,165
0
24 May 2016
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