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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 / 14,547 papers shown
Title
Semantic Parsing to Probabilistic Programs for Situated Question
  Answering
Semantic Parsing to Probabilistic Programs for Situated Question Answering
Jayant Krishnamurthy
Oyvind Tafjord
Aniruddha Kembhavi
34
25
0
22 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
Cutting out the middleman: measuring nuclear area in histopathology
  slides without segmentation
Cutting out the middleman: measuring nuclear area in histopathology slides without segmentation
M. Veta
P. Diest
J. Pluim
19
27
0
20 Jun 2016
DualNet: Domain-Invariant Network for Visual Question Answering
DualNet: Domain-Invariant Network for Visual Question Answering
Kuniaki Saito
Andrew Shin
Yoshitaka Ushiku
Tatsuya Harada
37
58
0
20 Jun 2016
Online and Offline Handwritten Chinese Character Recognition: A
  Comprehensive Study and New Benchmark
Online and Offline Handwritten Chinese Character Recognition: A Comprehensive Study and New Benchmark
Xu-Yao Zhang
Yoshua Bengio
Cheng-Lin Liu
3DV
29
276
0
18 Jun 2016
Deep Learning for Identifying Metastatic Breast Cancer
Deep Learning for Identifying Metastatic Breast Cancer
Dayong Wang
A. Khosla
Rishab Gargeya
H. Irshad
Andrew H. Beck
MedIm
33
938
0
18 Jun 2016
DeepFood: Deep Learning-Based Food Image Recognition for Computer-Aided
  Dietary Assessment
DeepFood: Deep Learning-Based Food Image Recognition for Computer-Aided Dietary Assessment
Chang Liu
Yu Cao
Yan Luo
Guanling Chen
V. Vokkarane
Yunsheng Ma
16
251
0
17 Jun 2016
YodaNN: An Architecture for Ultra-Low Power Binary-Weight CNN
  Acceleration
YodaNN: An Architecture for Ultra-Low Power Binary-Weight CNN Acceleration
Renzo Andri
Lukas Cavigelli
D. Rossi
Luca Benini
23
196
0
17 Jun 2016
FVQA: Fact-based Visual Question Answering
FVQA: Fact-based Visual Question Answering
Peng Wang
Qi Wu
Chunhua Shen
Anton van den Hengel
A. Dick
CoGe
39
456
0
17 Jun 2016
CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face
  Detection
CMS-RCNN: Contextual Multi-Scale Region-based CNN for Unconstrained Face Detection
Chenchen Zhu
Yutong Zheng
Khoa Luu
Marios Savvides
ObjD
CVBM
22
250
0
17 Jun 2016
Convolutional Residual Memory Networks
Convolutional Residual Memory Networks
Joel Ruben Antony Moniz
C. Pal
31
23
0
16 Jun 2016
Logarithmic Time One-Against-Some
Logarithmic Time One-Against-Some
Hal Daumé
Nikos Karampatziakis
John Langford
Paul Mineiro
11
46
0
15 Jun 2016
A Powerful Generative Model Using Random Weights for the Deep Image
  Representation
A Powerful Generative Model Using Random Weights for the Deep Image Representation
Kun He
Yan Wang
John E. Hopcroft
28
78
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
168
8,594
0
15 Jun 2016
DeepProposals: Hunting Objects and Actions by Cascading Deep
  Convolutional Layers
DeepProposals: Hunting Objects and Actions by Cascading Deep Convolutional Layers
Amir Ghodrati
Ali Diba
M. Pedersoli
Tinne Tuytelaars
Luc Van Gool
ObjD
24
20
0
15 Jun 2016
Bidirectional Long-Short Term Memory for Video Description
Bidirectional Long-Short Term Memory for Video Description
Yi Bin
Yang Yang
Zi Huang
Fumin Shen
Xing Xu
Heng Tao Shen
39
60
0
15 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
26
79
0
14 Jun 2016
A Systematic Approach to Blocking Convolutional Neural Networks
A Systematic Approach to Blocking Convolutional Neural Networks
Xuan S. Yang
Jing Pu
Blaine Rister
Nikhil Bhagdikar
Stephen Richardson
Shahar Kvatinsky
Jonathan Ragan-Kelley
A. Pedram
M. Horowitz
24
54
0
14 Jun 2016
Deep Image Homography Estimation
Deep Image Homography Estimation
Daniel DeTone
Tomasz Malisiewicz
Andrew Rabinovich
14
435
0
13 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
53
465
0
11 Jun 2016
Face Detection with the Faster R-CNN
Face Detection with the Faster R-CNN
Huaizu Jiang
Erik Learned-Miller
CVBM
ObjD
30
668
0
10 Jun 2016
Convolutional Sketch Inversion
Convolutional Sketch Inversion
Yağmur Güçlütürk
Umut Güçlü
R. Lier
Marcel van Gerven
CVBM
21
65
0
09 Jun 2016
A Comprehensive Analysis of Deep Learning Based Representation for Face
  Recognition
A Comprehensive Analysis of Deep Learning Based Representation for Face Recognition
Mostafa Mehdipour-Ghazi
H. K. Ekenel
CVBM
36
140
0
09 Jun 2016
Fully Convolutional Networks for Dense Semantic Labelling of
  High-Resolution Aerial Imagery
Fully Convolutional Networks for Dense Semantic Labelling of High-Resolution Aerial Imagery
Jamie Sherrah
SSeg
23
364
0
08 Jun 2016
Convolutional Neural Fabrics
Convolutional Neural Fabrics
Shreyas Saxena
Jakob Verbeek
36
226
0
08 Jun 2016
Progressive Attention Networks for Visual Attribute Prediction
Progressive Attention Networks for Visual Attribute Prediction
Paul Hongsuck Seo
Zhe Lin
Scott D. Cohen
Xiaohui Shen
Bohyung Han
27
41
0
08 Jun 2016
Semi-Supervised Domain Adaptation for Weakly Labeled Semantic Video
  Object Segmentation
Semi-Supervised Domain Adaptation for Weakly Labeled Semantic Video Object Segmentation
Huiling Wang
T. Raiko
L. Lensu
T. Wang
J. Karhunen
16
24
0
07 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
261
2,064
0
07 Jun 2016
Learning deep structured network for weakly supervised change detection
Learning deep structured network for weakly supervised change detection
Salman H Khan
Xuming He
Fatih Porikli
Bennamoun
Ferdous Sohel
R. Togneri
21
7
0
07 Jun 2016
Multimodal Compact Bilinear Pooling for Visual Question Answering and
  Visual Grounding
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding
Akira Fukui
Dong Huk Park
Daylen Yang
Anna Rohrbach
Trevor Darrell
Marcus Rohrbach
189
1,466
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
Photo Aesthetics Ranking Network with Attributes and Content Adaptation
Photo Aesthetics Ranking Network with Attributes and Content Adaptation
Shu Kong
Xiaohui Shen
Zhe Lin
R. Měch
Charless C. Fowlkes
33
440
0
06 Jun 2016
Deep Recurrent Convolutional Networks for Video-based Person
  Re-identification: An End-to-End Approach
Deep Recurrent Convolutional Networks for Video-based Person Re-identification: An End-to-End Approach
Lin Wu
Chunhua Shen
Anton Van Den Hengel
54
66
0
06 Jun 2016
Deep Linear Discriminant Analysis on Fisher Networks: A Hybrid
  Architecture for Person Re-identification
Deep Linear Discriminant Analysis on Fisher Networks: A Hybrid Architecture for Person Re-identification
Lin Wu
Chunhua Shen
Anton Van Den Hengel
28
209
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
Incorporating long-range consistency in CNN-based texture generation
Incorporating long-range consistency in CNN-based texture generation
Guillaume Berger
Roland Memisevic
3DV
26
51
0
03 Jun 2016
How Deep is the Feature Analysis underlying Rapid Visual Categorization?
How Deep is the Feature Analysis underlying Rapid Visual Categorization?
S. Eberhardt
Jonah Cader
Thomas Serre
29
53
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
97
18,101
0
02 Jun 2016
Recurrent Fully Convolutional Networks for Video Segmentation
Recurrent Fully Convolutional Networks for Video Segmentation
Sepehr Valipour
Mennatullah Siam
Martin Jägersand
Nilanjan Ray
VOS
27
89
0
01 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
1,821
0
01 Jun 2016
OpenSalicon: An Open Source Implementation of the Salicon Saliency Model
OpenSalicon: An Open Source Implementation of the Salicon Saliency Model
Christopher Thomas
14
30
0
01 Jun 2016
Boda-RTC: Productive Generation of Portable, Efficient Code for
  Convolutional Neural Networks on Mobile Computing Platforms
Boda-RTC: Productive Generation of Portable, Efficient Code for Convolutional Neural Networks on Mobile Computing Platforms
Matthew W. Moskewicz
F. Iandola
Kurt Keutzer
17
8
0
01 Jun 2016
Adversarial Feature Learning
Adversarial Feature Learning
Jiasen Lu
Philipp Krahenbuhl
Trevor Darrell
GAN
61
1,830
0
31 May 2016
Towards ontology driven learning of visual concept detectors
Towards ontology driven learning of visual concept detectors
Sanchit Arora
Chuck Cho
P. Fitzpatrick
F. Scharffe
22
2
0
31 May 2016
CYCLADES: Conflict-free Asynchronous Machine Learning
CYCLADES: Conflict-free Asynchronous Machine Learning
Yang Zhang
Maximilian Lam
Stephen Tu
Dimitris Papailiopoulos
Ce Zhang
Michael I. Jordan
M. Shah
Christopher Ré
Benjamin Recht
27
62
0
31 May 2016
Generalized Multi-view Embedding for Visual Recognition and Cross-modal
  Retrieval
Generalized Multi-view Embedding for Visual Recognition and Cross-modal Retrieval
G. Cao
Alexandros Iosifidis
Ke Chen
Moncef Gabbouj
33
89
0
31 May 2016
Attention Correctness in Neural Image Captioning
Attention Correctness in Neural Image Captioning
Chenxi Liu
Junhua Mao
Fei Sha
Alan Yuille
3DV
38
220
0
31 May 2016
Deep convolutional neural networks for predominant instrument
  recognition in polyphonic music
Deep convolutional neural networks for predominant instrument recognition in polyphonic music
Yoonchang Han
Jae‐Hun Kim
Kyogu Lee
33
204
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
Does Multimodality Help Human and Machine for Translation and Image
  Captioning?
Does Multimodality Help Human and Machine for Translation and Image Captioning?
Ozan Caglayan
Walid Aransa
Yaxing Wang
Marc Masana
Mercedes García-Martínez
Fethi Bougares
Loïc Barrault
Joost van de Weijer
33
86
0
30 May 2016
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