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Very Deep Convolutional Networks for Large-Scale Image Recognition
v1v2v3v4v5v6 (latest)

Very Deep Convolutional Networks for Large-Scale Image Recognition

International Conference on Learning Representations (ICLR), 2014
4 September 2014
Karen Simonyan
Andrew Zisserman
    FAttMDE
ArXiv (abs)PDFHTML

Papers citing "Very Deep Convolutional Networks for Large-Scale Image Recognition"

50 / 24,439 papers shown
Object Contour Detection with a Fully Convolutional Encoder-Decoder
  Network
Object Contour Detection with a Fully Convolutional Encoder-Decoder Network
Jimei Yang
Brian L. Price
Scott D. Cohen
Honglak Lee
Ming-Hsuan Yang
ObjD
230
383
0
15 Mar 2016
Pushing the Limits of Deep CNNs for Pedestrian Detection
Pushing the Limits of Deep CNNs for Pedestrian Detection
Qichang Hu
Peng Wang
Chunhua Shen
Anton van den Hengel
Fatih Porikli
197
95
0
15 Mar 2016
Visual Concept Recognition and Localization via Iterative Introspection
Visual Concept Recognition and Localization via Iterative Introspection
Amir Rosenfeld
S. Ullman
238
23
0
14 Mar 2016
Pose for Action - Action for Pose
Pose for Action - Action for Pose
Umar Iqbal
Martin Garbade
Juergen Gall
225
101
0
13 Mar 2016
Template Adaptation for Face Verification and Identification
Template Adaptation for Face Verification and Identification
Nate Crosswhite
J. Byrne
Omkar M. Parkhi
C. Stauffer
Qiong Cao
Andrew Zisserman
CVBM
181
162
0
12 Mar 2016
Robust Scene Text Recognition with Automatic Rectification
Robust Scene Text Recognition with Automatic Rectification
Baoguang Shi
Xinggang Wang
Pengyuan Lyu
Cong Yao
X. Bai
3DV
226
613
0
12 Mar 2016
Optical Flow with Semantic Segmentation and Localized Layers
Optical Flow with Semantic Segmentation and Localized Layers
Laura Sevilla-Lara
Deqing Sun
Varun Jampani
Michael J. Black
223
187
0
12 Mar 2016
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
Dmitry Ulyanov
V. Lebedev
Andrea Vedaldi
Victor Lempitsky
3DH
264
987
0
10 Mar 2016
Exploring Context with Deep Structured models for Semantic Segmentation
Exploring Context with Deep Structured models for Semantic Segmentation
Guosheng Lin
Chunhua Shen
Anton van den Hengel
Ian Reid
SSeg
372
131
0
10 Mar 2016
Recursive Recurrent Nets with Attention Modeling for OCR in the Wild
Recursive Recurrent Nets with Attention Modeling for OCR in the Wild
Chen-Yu Lee
Simon Osindero
VLM
206
481
0
09 Mar 2016
Fast Training of Triplet-based Deep Binary Embedding Networks
Fast Training of Triplet-based Deep Binary Embedding Networks
Bohan Zhuang
Guosheng Lin
Chunhua Shen
Ian Reid
MQ
163
116
0
09 Mar 2016
Image Captioning and Visual Question Answering Based on Attributes and
  External Knowledge
Image Captioning and Visual Question Answering Based on Attributes and External Knowledge
Qi Wu
Chunhua Shen
Anton Van Den Hengel
Peng Wang
A. Dick
218
374
0
09 Mar 2016
DROW: Real-Time Deep Learning based Wheelchair Detection in 2D Range
  Data
DROW: Real-Time Deep Learning based Wheelchair Detection in 2D Range Data
Lucas Beyer
Alexander Hermans
Bastian Leibe
169
46
0
08 Mar 2016
The red one!: On learning to refer to things based on their
  discriminative properties
The red one!: On learning to refer to things based on their discriminative properties
Angeliki Lazaridou
N. Pham
Marco Baroni
EgoV
205
16
0
08 Mar 2016
A New Method to Visualize Deep Neural Networks
A New Method to Visualize Deep Neural Networks
L. Zintgraf
Taco S. Cohen
Max Welling
FAtt
146
48
0
08 Mar 2016
Deep Contrast Learning for Salient Object Detection
Deep Contrast Learning for Salient Object Detection
Guanbin Li
Yizhou Yu
175
756
0
07 Mar 2016
Semantic Style Transfer and Turning Two-Bit Doodles into Fine Artworks
Semantic Style Transfer and Turning Two-Bit Doodles into Fine Artworks
A. Champandard
GAN
174
250
0
05 Mar 2016
Network Morphism
Network Morphism
Tao Wei
Changhu Wang
Y. Rui
Chen Chen
419
183
0
05 Mar 2016
Dynamic Memory Networks for Visual and Textual Question Answering
Dynamic Memory Networks for Visual and Textual Question Answering
Caiming Xiong
Stephen Merity
R. Socher
230
765
0
04 Mar 2016
Decision Forests, Convolutional Networks and the Models in-Between
Decision Forests, Convolutional Networks and the Models in-Between
Yani Andrew Ioannou
D. Robertson
Darko Zikic
Peter Kontschieder
Jamie Shotton
Matthew Brown
A. Criminisi
208
92
0
03 Mar 2016
HyperFace: A Deep Multi-task Learning Framework for Face Detection,
  Landmark Localization, Pose Estimation, and Gender Recognition
HyperFace: A Deep Multi-task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition
Rajeev Ranjan
Vishal M. Patel
Rama Chellappa
CVBM3DH
378
1,269
0
03 Mar 2016
What is the right way to represent document images?
What is the right way to represent document images?
G. Csurka
Diane Larlus
Albert Gordo
Jon Almazán
VLM
127
19
0
03 Mar 2016
Convolutional Neural Networks using Logarithmic Data Representation
Convolutional Neural Networks using Logarithmic Data Representation
Daisuke Miyashita
Edward H. Lee
B. Murmann
MQ
246
453
0
03 Mar 2016
Automatic learning of gait signatures for people identification
Automatic learning of gait signatures for people identification
F. M. Castro
M. Marín-Jiménez
Nicolás Guil Mata
N. P. D. L. Blanca
CVBM
150
104
0
03 Mar 2016
PCANet: An energy perspective
PCANet: An energy perspective
Jiasong Wu
Shijie Qiu
Youyong Kong
Longyu Jiang
L. Senhadji
H. Shu
133
19
0
03 Mar 2016
Shallow and Deep Convolutional Networks for Saliency Prediction
Shallow and Deep Convolutional Networks for Saliency Prediction
Junting Pan
Kevin McGuinness
E. Sayrol
Noel E. O'Connor
Xavier Giró-i-Nieto
FAtt
149
487
0
02 Mar 2016
Synthesized Classifiers for Zero-Shot Learning
Synthesized Classifiers for Zero-Shot Learning
Soravit Changpinyo
Wei-Lun Chao
Boqing Gong
Fei Sha
335
751
0
02 Mar 2016
Keypoint Density-based Region Proposal for Fine-Grained Object Detection
  and Classification using Regions with Convolutional Neural Network Features
Keypoint Density-based Region Proposal for Fine-Grained Object Detection and Classification using Regions with Convolutional Neural Network Features
J. Turner
K. Gupta
B. Morris
D. Aha
90
6
0
01 Mar 2016
Weakly Supervised Localization using Deep Feature Maps
Weakly Supervised Localization using Deep Feature Maps
Archith J. Bency
H. Kwon
Hyungtae Lee
S. Karthikeyan
B. S. Manjunath
WSOL
205
72
0
01 Mar 2016
Convolutional Rectifier Networks as Generalized Tensor Decompositions
Convolutional Rectifier Networks as Generalized Tensor Decompositions
Nadav Cohen
Amnon Shashua
215
156
0
01 Mar 2016
Cascaded Subpatch Networks for Effective CNNs
Cascaded Subpatch Networks for Effective CNNs
Xiaoheng Jiang
Yanwei Pang
Manli Sun
Xuelong Li
211
40
0
01 Mar 2016
Learning Multilayer Channel Features for Pedestrian Detection
Learning Multilayer Channel Features for Pedestrian Detection
Jiale Cao
Yanwei Pang
Xuelong Li
191
108
0
01 Mar 2016
Representation of linguistic form and function in recurrent neural
  networks
Representation of linguistic form and function in recurrent neural networks
Ákos Kádár
Grzegorz Chrupała
Afra Alishahi
223
163
0
29 Feb 2016
Seq-NMS for Video Object Detection
Seq-NMS for Video Object Detection
Wei Han
Pooya Khorrami
T. Paine
Prajit Ramachandran
Mohammad Babaeizadeh
Humphrey Shi
Jianan Li
Shuicheng Yan
Thomas S. Huang
227
312
0
26 Feb 2016
We don't need no bounding-boxes: Training object class detectors using
  only human verification
We don't need no bounding-boxes: Training object class detectors using only human verification
Dim P. Papadopoulos
J. Uijlings
Frank Keller
V. Ferrari
VLMObjD
201
143
0
26 Feb 2016
DeepSpark: A Spark-Based Distributed Deep Learning Framework for
  Commodity Clusters
DeepSpark: A Spark-Based Distributed Deep Learning Framework for Commodity Clusters
Hanjoo Kim
Jaehong Park
Jaehee Jang
Sungroh Yoon
BDL
211
37
0
26 Feb 2016
vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient
  Neural Network Design
vDNN: Virtualized Deep Neural Networks for Scalable, Memory-Efficient Neural Network Design
Minsoo Rhu
N. Gimelshein
Jason Clemons
A. Zulfiqar
S. Keckler
GNN
185
32
0
25 Feb 2016
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB
  model size
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size
F. Iandola
Song Han
Matthew W. Moskewicz
Khalid Ashraf
W. Dally
Kurt Keutzer
515
8,135
0
24 Feb 2016
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense
  Image Annotations
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
Ranjay Krishna
Yuke Zhu
Oliver Groth
Justin Johnson
Kenji Hata
...
Yannis Kalantidis
Li Li
David A. Shamma
Michael S. Bernstein
Fei-Fei Li
1.9K
6,223
0
23 Feb 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
620
15,090
0
23 Feb 2016
Exploring the Neural Algorithm of Artistic Style
Exploring the Neural Algorithm of Artistic Style
Yaroslav Nikulin
Roman Novak
GAN
206
40
0
23 Feb 2016
The ImageNet Shuffle: Reorganized Pre-training for Video Event Detection
The ImageNet Shuffle: Reorganized Pre-training for Video Event Detection
Pascal Mettes
D. Koelma
Cees G. M. Snoek
99
121
0
23 Feb 2016
Clustering with a Reject Option: Interactive Clustering as Bayesian
  Prior Elicitation
Clustering with a Reject Option: Interactive Clustering as Bayesian Prior Elicitation
Akash Srivastava
James Zou
Charles Sutton
108
14
0
22 Feb 2016
Distributed Deep Learning Using Synchronous Stochastic Gradient Descent
Distributed Deep Learning Using Synchronous Stochastic Gradient Descent
Dipankar Das
Sasikanth Avancha
Dheevatsa Mudigere
K. Vaidyanathan
Srinivas Sridharan
Dhiraj D. Kalamkar
Bharat Kaul
Pradeep Dubey
GNN
179
179
0
22 Feb 2016
Correlation Hashing Network for Efficient Cross-Modal Retrieval
Correlation Hashing Network for Efficient Cross-Modal Retrieval
Yue Cao
Mingsheng Long
Jianmin Wang
Philip S. Yu
161
62
0
22 Feb 2016
On the Use of Deep Learning for Blind Image Quality Assessment
On the Use of Deep Learning for Blind Image Quality Assessment
Luigi Celona
Simone Bianco
Paolo Napoletano
Raimondo Schettini
VLM
253
353
0
17 Feb 2016
Deconvolutional Feature Stacking for Weakly-Supervised Semantic
  Segmentation
Deconvolutional Feature Stacking for Weakly-Supervised Semantic Segmentation
Hyo-Eun Kim
Sangheum Hwang
SSeg
294
18
0
16 Feb 2016
Bi-directional LSTM Recurrent Neural Network for Chinese Word
  Segmentation
Bi-directional LSTM Recurrent Neural Network for Chinese Word Segmentation
Yushi Yao
Zheng Huang
132
129
0
16 Feb 2016
Embracing Error to Enable Rapid Crowdsourcing
Embracing Error to Enable Rapid Crowdsourcing
Ranjay Krishna
Kenji Hata
Stephanie Chen
Joshua Kravitz
David A. Shamma
Li Fei-Fei
Michael S. Bernstein
LRM
225
93
0
14 Feb 2016
Hi Detector, What's Wrong with that Object? Identifying Irregular Object
  From Images by Modelling the Detection Score Distribution
Hi Detector, What's Wrong with that Object? Identifying Irregular Object From Images by Modelling the Detection Score Distribution
Peng Wang
Lingqiao Liu
Chunhua Shen
Anton Van Den Hengel
Heng Tao Shen
51
0
0
14 Feb 2016
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