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Very Deep Convolutional Networks for Large-Scale Image Recognition

Very Deep Convolutional Networks for Large-Scale Image Recognition

4 September 2014
Karen Simonyan
Andrew Zisserman
    FAtt
    MDE
ArXivPDFHTML

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

50 / 7,732 papers shown
Title
Deep Image Retrieval: Learning global representations for image search
Deep Image Retrieval: Learning global representations for image search
Albert Gordo
Jon Almazán
Jérôme Revaud
Diane Larlus
13
800
0
05 Apr 2016
Clustering Millions of Faces by Identity
Clustering Millions of Faces by Identity
C. Otto
Dayong Wang
Anil K. Jain
CVBM
20
173
0
04 Apr 2016
Leaving Some Stones Unturned: Dynamic Feature Prioritization for
  Activity Detection in Streaming Video
Leaving Some Stones Unturned: Dynamic Feature Prioritization for Activity Detection in Streaming Video
Yu-Chuan Su
Kristen Grauman
14
30
0
01 Apr 2016
Good Practice in CNN Feature Transfer
Good Practice in CNN Feature Transfer
Liang Zheng
Yali Zhao
Shengjin Wang
Jingdong Wang
Q. Tian
28
160
0
01 Apr 2016
Accurate Text Localization in Natural Image with Cascaded Convolutional
  Text Network
Accurate Text Localization in Natural Image with Cascaded Convolutional Text Network
Tong He
Weilin Huang
Yu Qiao
Jian Yao
13
81
0
31 Mar 2016
Deep Networks with Stochastic Depth
Deep Networks with Stochastic Depth
Gao Huang
Yu Sun
Zhuang Liu
Daniel Sedra
Kilian Q. Weinberger
11
2,328
0
30 Mar 2016
Human Pose Estimation using Deep Consensus Voting
Human Pose Estimation using Deep Consensus Voting
Ita Lifshitz
Ethan Fetaya
S. Ullman
3DH
9
158
0
27 Mar 2016
Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization
  Using a Large Scale Radiology Image Database
Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database
Xiaosong Wang
Le Lu
Hoo-Chang Shin
Lauren Kim
Isabella Nogues
Jianhua Yao
Ronald M. Summers
6
16
0
25 Mar 2016
Early Detection of Combustion Instabilities using Deep Convolutional
  Selective Autoencoders on Hi-speed Flame Video
Early Detection of Combustion Instabilities using Deep Convolutional Selective Autoencoders on Hi-speed Flame Video
Chandrayee Basu
Qian Yang
M. Singhal
Anca Dragan
49
174
0
25 Mar 2016
Attentive Contexts for Object Detection
Attentive Contexts for Object Detection
Jianan Li
Yunchao Wei
Xiaodan Liang
Jian Dong
Tingfa Xu
Jiashi Feng
Shuicheng Yan
ObjD
4
221
0
24 Mar 2016
Face Recognition Using Deep Multi-Pose Representations
Face Recognition Using Deep Multi-Pose Representations
Wael Abd-Almageed
Yue Wu
Stephen Rawls
Shai Harel
Tal Hassner
...
J. Leksut
Jungyeon Kim
Premkumar Natarajan
Ram Nevatia
Gérard Medioni
CVBM
12
149
0
23 Mar 2016
Global-Local Face Upsampling Network
Global-Local Face Upsampling Network
Oncel Tuzel
Yuichi Taguchi
J. Hershey
CVBM
SupR
13
35
0
23 Mar 2016
Weakly-Supervised Semantic Segmentation using Motion Cues
Weakly-Supervised Semantic Segmentation using Motion Cues
P. Tokmakov
Alahari Karteek
Cordelia Schmid
6
56
0
23 Mar 2016
BreakingNews: Article Annotation by Image and Text Processing
BreakingNews: Article Annotation by Image and Text Processing
Arnau Ramisa
F. Yan
Francesc Moreno-Noguer
K. Mikolajczyk
16
105
0
23 Mar 2016
Learning Representations for Automatic Colorization
Learning Representations for Automatic Colorization
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
VLM
SSL
14
1,008
0
22 Mar 2016
Towards Automatic Wild Animal Monitoring: Identification of Animal
  Species in Camera-trap Images using Very Deep Convolutional Neural Networks
Towards Automatic Wild Animal Monitoring: Identification of Animal Species in Camera-trap Images using Very Deep Convolutional Neural Networks
Alex Gomez-Villa
Augusto Salazar
J. Vargas-Bonilla
10
299
0
20 Mar 2016
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image
  Segmentation
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation
Alexander Kolesnikov
Christoph H. Lampert
SSeg
13
742
0
19 Mar 2016
Do Deep Convolutional Nets Really Need to be Deep and Convolutional?
Do Deep Convolutional Nets Really Need to be Deep and Convolutional?
G. Urban
Krzysztof J. Geras
Samira Ebrahimi Kahou
Ozlem Aslan
Shengjie Wang
R. Caruana
Abdel-rahman Mohamed
Matthai Philipose
Matthew Richardson
10
47
0
17 Mar 2016
Combining the Best of Convolutional Layers and Recurrent Layers: A
  Hybrid Network for Semantic Segmentation
Combining the Best of Convolutional Layers and Recurrent Layers: A Hybrid Network for Semantic Segmentation
Zhicheng Yan
H. M. Zhang
Yangqing Jia
Thomas Breuel
Yizhou Yu
SSeg
11
40
0
15 Mar 2016
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
16
363
0
15 Mar 2016
Pose for Action - Action for Pose
Pose for Action - Action for Pose
Umar Iqbal
Martin Garbade
Juergen Gall
13
100
0
13 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
94
125
0
10 Mar 2016
Network Morphism
Network Morphism
Tao Wei
Changhu Wang
Y. Rui
C. L. P. Chen
13
176
0
05 Mar 2016
Convolutional Neural Networks using Logarithmic Data Representation
Convolutional Neural Networks using Logarithmic Data Representation
Daisuke Miyashita
Edward H. Lee
B. Murmann
MQ
19
425
0
03 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
A. Alishahi
11
162
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
11
300
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
VLM
ObjD
15
138
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
16
37
0
26 Feb 2016
Order-aware Convolutional Pooling for Video Based Action Recognition
Order-aware Convolutional Pooling for Video Based Action Recognition
Peng Wang
Lingqiao Liu
Chunhua Shen
Heng Tao Shen
19
25
0
31 Jan 2016
Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI
  and Ultrasound
Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI and Ultrasound
Fausto Milletari
Seyed-Ahmad Ahmadi
Christine Kroll
A. Plate
Verena E. Rozanski
...
J. Levin
O. Dietrich
B. Ertl-Wagner
K. Boetzel
Nassir Navab
200
363
0
26 Jan 2016
Relief R-CNN : Utilizing Convolutional Features for Fast Object
  Detection
Relief R-CNN : Utilizing Convolutional Features for Fast Object Detection
Guiying Li
Junlong Liu
Chunhui Jiang
Liangpeng Zhang
Minlong Lin
Ke Tang
ObjD
13
7
0
25 Jan 2016
Compositional Model based Fisher Vector Coding for Image Classification
Compositional Model based Fisher Vector Coding for Image Classification
Lingqiao Liu
Peng Wang
Chunhua Shen
Lei Wang
A. Hengel
Chao Wang
Heng Tao Shen
35
53
0
16 Jan 2016
Write a Classifier: Predicting Visual Classifiers from Unstructured Text
Write a Classifier: Predicting Visual Classifiers from Unstructured Text
Mohamed Elhoseiny
Ahmed Elgammal
Babak Saleh
12
41
0
31 Dec 2015
Learning Transferrable Knowledge for Semantic Segmentation with Deep
  Convolutional Neural Network
Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network
Seunghoon Hong
Junhyuk Oh
Bohyung Han
Honglak Lee
SSeg
9
173
0
24 Dec 2015
G-CNN: an Iterative Grid Based Object Detector
G-CNN: an Iterative Grid Based Object Detector
Mahyar Najibi
Mohammad Rastegari
L. Davis
ObjD
10
190
0
24 Dec 2015
Adaptive Object Detection Using Adjacency and Zoom Prediction
Adaptive Object Detection Using Adjacency and Zoom Prediction
Y. Lu
T. Javidi
Svetlana Lazebnik
ObjD
18
74
0
24 Dec 2015
Fine-grained Categorization and Dataset Bootstrapping using Deep Metric
  Learning with Humans in the Loop
Fine-grained Categorization and Dataset Bootstrapping using Deep Metric Learning with Humans in the Loop
Yin Cui
Feng Zhou
Yuanqing Lin
Serge J. Belongie
10
236
0
16 Dec 2015
Instance-aware Semantic Segmentation via Multi-task Network Cascades
Instance-aware Semantic Segmentation via Multi-task Network Cascades
Jifeng Dai
Kaiming He
Jian-jun Sun
SSeg
10
1,223
0
14 Dec 2015
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and
  Recurrent Neural Networks
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks
Sean Bell
C. L. Zitnick
Kavita Bala
Ross B. Girshick
ObjD
16
1,202
0
14 Dec 2015
Action Recognition with Image Based CNN Features
Action Recognition with Image Based CNN Features
Mahdyar Ravanbakhsh
Hossein Mousavi
Mohammad Rastegari
Vittorio Murino
L. Davis
9
63
0
13 Dec 2015
Efficient Deep Feature Learning and Extraction via StochasticNets
Efficient Deep Feature Learning and Extraction via StochasticNets
M. Shafiee
P. Siva
Paul Fieguth
A. Wong
24
2
0
11 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
X. Zhang
Shaoqing Ren
Jian-jun Sun
MedIm
8
190,590
0
10 Dec 2015
Iterative Instance Segmentation
Iterative Instance Segmentation
Ke Li
Bharath Hariharan
Jitendra Malik
ISeg
17
148
0
26 Nov 2015
Pedestrian Detection Inspired by Appearance Constancy and Shape Symmetry
Pedestrian Detection Inspired by Appearance Constancy and Shape Symmetry
Jiale Cao
Yanwei Pang
Xuelong Li
13
85
0
25 Nov 2015
LocNet: Improving Localization Accuracy for Object Detection
LocNet: Improving Localization Accuracy for Object Detection
Spyros Gidaris
N. Komodakis
ObjD
18
140
0
24 Nov 2015
DenseCap: Fully Convolutional Localization Networks for Dense Captioning
DenseCap: Fully Convolutional Localization Networks for Dense Captioning
Justin Johnson
A. Karpathy
Li Fei-Fei
VLM
8
1,159
0
24 Nov 2015
Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation
Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation
S. Honari
J. Yosinski
Pascal Vincent
C. Pal
14
121
0
23 Nov 2015
SceneNet: Understanding Real World Indoor Scenes With Synthetic Data
SceneNet: Understanding Real World Indoor Scenes With Synthetic Data
Ankur Handa
Viorica Patraucean
Vijay Badrinarayanan
Simon Stent
R. Cipolla
3DPC
3DV
21
230
0
22 Nov 2015
Mapping Images to Sentiment Adjective Noun Pairs with Factorized Neural
  Nets
Mapping Images to Sentiment Adjective Noun Pairs with Factorized Neural Nets
T. Narihira
Damian Borth
Stella X. Yu
Karl S. Ni
Trevor Darrell
CoGe
14
14
0
21 Nov 2015
Delving Deeper into Convolutional Networks for Learning Video
  Representations
Delving Deeper into Convolutional Networks for Learning Video Representations
Nicolas Ballas
L. Yao
C. Pal
Aaron Courville
MDE
12
691
0
19 Nov 2015
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