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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
Recurrent Convolutional Networks for Pulmonary Nodule Detection in CT
  Imaging
Recurrent Convolutional Networks for Pulmonary Nodule Detection in CT Imaging
P. Ypsilantis
Giovanni Montana
MedIm
16
31
0
28 Sep 2016
Variational Autoencoder for Deep Learning of Images, Labels and Captions
Variational Autoencoder for Deep Learning of Images, Labels and Captions
Yunchen Pu
Zhe Gan
Ricardo Henao
Xin Yuan
Chunyuan Li
Andrew Stevens
Lawrence Carin
BDL
CoGe
45
749
0
28 Sep 2016
Understanding data augmentation for classification: when to warp?
Understanding data augmentation for classification: when to warp?
S. Wong
Adam Gatt
V. Stamatescu
Mark D Mcdonnell
30
900
0
28 Sep 2016
Video Summarization using Deep Semantic Features
Video Summarization using Deep Semantic Features
Mayu Otani
Yuta Nakashima
Esa Rahtu
J. Heikkilä
N. Yokoya
30
112
0
28 Sep 2016
Learning Language-Visual Embedding for Movie Understanding with
  Natural-Language
Learning Language-Visual Embedding for Movie Understanding with Natural-Language
Atousa Torabi
Niket Tandon
Leonid Sigal
22
97
0
26 Sep 2016
Optimistic and Pessimistic Neural Networks for Scene and Object
  Recognition
Optimistic and Pessimistic Neural Networks for Scene and Object Recognition
René Grzeszick
Sebastian Sudholt
G. Fink
UQCV
39
4
0
26 Sep 2016
Lexicon-Free Fingerspelling Recognition from Video: Data, Models, and
  Signer Adaptation
Lexicon-Free Fingerspelling Recognition from Video: Data, Models, and Signer Adaptation
Taehwan Kim
J. Keane
Weiran Wang
Hao Tang
Jason Riggle
Gregory Shakhnarovich
D. Brentari
Karen Livescu
35
52
0
26 Sep 2016
Input Convex Neural Networks
Input Convex Neural Networks
Brandon Amos
Lei Xu
J. Zico Kolter
204
608
0
22 Sep 2016
Quantized Neural Networks: Training Neural Networks with Low Precision
  Weights and Activations
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
Itay Hubara
Matthieu Courbariaux
Daniel Soudry
Ran El-Yaniv
Yoshua Bengio
MQ
59
1,850
0
22 Sep 2016
Distributed Training of Deep Neural Networks: Theoretical and Practical
  Limits of Parallel Scalability
Distributed Training of Deep Neural Networks: Theoretical and Practical Limits of Parallel Scalability
J. Keuper
Franz-Josef Pfreundt
GNN
58
98
0
22 Sep 2016
Semantic Segmentation of Earth Observation Data Using Multimodal and
  Multi-scale Deep Networks
Semantic Segmentation of Earth Observation Data Using Multimodal and Multi-scale Deep Networks
Nicolas Audebert
Bertrand Le Saux
Sébastien Lefèvre
SSeg
37
384
0
22 Sep 2016
How should we evaluate supervised hashing?
How should we evaluate supervised hashing?
Alexandre Sablayrolles
Matthijs Douze
Hervé Jégou
Nicolas Usunier
28
87
0
21 Sep 2016
PixelNet: Towards a General Pixel-level Architecture
PixelNet: Towards a General Pixel-level Architecture
Aayush Bansal
Xinlei Chen
Bryan C. Russell
Abhinav Gupta
Deva Ramanan
SSeg
221
58
0
21 Sep 2016
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient
  Convolutional Neural Networks
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks
Martin Engelcke
Dushyant Rao
Dominic Zeng Wang
Chi Hay Tong
Ingmar Posner
3DPC
192
520
0
21 Sep 2016
The Color of the Cat is Gray: 1 Million Full-Sentences Visual Question
  Answering (FSVQA)
The Color of the Cat is Gray: 1 Million Full-Sentences Visual Question Answering (FSVQA)
Andrew Shin
Yoshitaka Ushiku
Tatsuya Harada
52
14
0
21 Sep 2016
FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression
  Recognition
FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition
Hui Ding
S. Kevin Zhou
Rama Chellappa
CVBM
39
363
0
21 Sep 2016
Production-Level Facial Performance Capture Using Deep Convolutional
  Neural Networks
Production-Level Facial Performance Capture Using Deep Convolutional Neural Networks
S. Laine
Tero Karras
Timo Aila
Antti Herva
Shunsuke Saito
Ronald Yu
Hao Li
J. Lehtinen
CVBM
3DH
35
101
0
21 Sep 2016
Fast Single Shot Detection and Pose Estimation
Fast Single Shot Detection and Pose Estimation
Patrick Poirson
Phil Ammirato
Cheng-Yang Fu
Wei Liu
Jana Kosecka
Alexander C. Berg
3DPC
35
111
0
19 Sep 2016
GeThR-Net: A Generalized Temporally Hybrid Recurrent Neural Network for
  Multimodal Information Fusion
GeThR-Net: A Generalized Temporally Hybrid Recurrent Neural Network for Multimodal Information Fusion
Ankit Gandhi
Arjun Sharma
Arijit Biswas
Om Deshmukh
AI4TS
30
12
0
17 Sep 2016
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
248
5,188
0
16 Sep 2016
Visual Stability Prediction and Its Application to Manipulation
Visual Stability Prediction and Its Application to Manipulation
Wenbin Li
A. Leonardis
Mario Fritz
32
37
0
15 Sep 2016
Photo-Realistic Single Image Super-Resolution Using a Generative
  Adversarial Network
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
C. Ledig
Lucas Theis
Ferenc Huszár
Jose Caballero
Andrew Cunningham
...
Andrew P. Aitken
Alykhan Tejani
J. Totz
Zehan Wang
Wenzhe Shi
GAN
143
10,630
0
15 Sep 2016
Multimodal Attention for Neural Machine Translation
Multimodal Attention for Neural Machine Translation
Ozan Caglayan
Loïc Barrault
Fethi Bougares
36
75
0
13 Sep 2016
Crafting a multi-task CNN for viewpoint estimation
Crafting a multi-task CNN for viewpoint estimation
Francisco Massa
Renaud Marlet
Mathieu Aubry
25
77
0
13 Sep 2016
VIPLFaceNet: An Open Source Deep Face Recognition SDK
VIPLFaceNet: An Open Source Deep Face Recognition SDK
Xin Liu
Meina Kan
Wanglong Wu
Shiguang Shan
Xilin Chen
CVBM
VLM
38
99
0
13 Sep 2016
DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for
  Object Skeleton Extraction in Natural Images
DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for Object Skeleton Extraction in Natural Images
Wei Shen
Kai Zhao
Yuan Jiang
Yan Wang
X. Bai
Alan Yuille
22
99
0
13 Sep 2016
Detecting Text in Natural Image with Connectionist Text Proposal Network
Detecting Text in Natural Image with Connectionist Text Proposal Network
Zhi Tian
Weilin Huang
Tong He
Pan He
Yu Qiao
30
940
0
12 Sep 2016
Fully-Trainable Deep Matching
Fully-Trainable Deep Matching
James Thewlis
Shuai Zheng
Philip Torr
Andrea Vedaldi
3DV
19
42
0
12 Sep 2016
The Microsoft 2016 Conversational Speech Recognition System
The Microsoft 2016 Conversational Speech Recognition System
Wayne Xiong
J. Droppo
Xuedong Huang
Frank Seide
M. Seltzer
A. Stolcke
Dong Yu
Geoffrey Zweig
31
289
0
12 Sep 2016
Style-Transfer via Texture-Synthesis
Style-Transfer via Texture-Synthesis
Michael Elad
P. Milanfar
OOD
27
139
0
10 Sep 2016
The Role of Context Selection in Object Detection
The Role of Context Selection in Object Detection
Ruichi Yu
Xi Chen
Vlad I. Morariu
L. Davis
30
42
0
09 Sep 2016
Track Facial Points in Unconstrained Videos
Track Facial Points in Unconstrained Videos
Xi Peng
Qiong Hu
Junzhou Huang
Dimitris N. Metaxas
CVBM
19
6
0
09 Sep 2016
Automated detection of smuggled high-risk security threats using Deep
  Learning
Automated detection of smuggled high-risk security threats using Deep Learning
Nicolas Jaccard
T. W. Rogers
E. Morton
Lewis D. Griffin
27
32
0
09 Sep 2016
Bottom-up Instance Segmentation using Deep Higher-Order CRFs
Bottom-up Instance Segmentation using Deep Higher-Order CRFs
Anurag Arnab
Philip Torr
SSeg
48
52
0
08 Sep 2016
Quantifying Radiographic Knee Osteoarthritis Severity using Deep
  Convolutional Neural Networks
Quantifying Radiographic Knee Osteoarthritis Severity using Deep Convolutional Neural Networks
Joseph Antony
Kevin McGuinness
Noel E. O'Connor
Kieran Moran
MedIm
27
250
0
08 Sep 2016
UberNet: Training a `Universal' Convolutional Neural Network for Low-,
  Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
Iasonas Kokkinos
SSeg
SSL
84
673
0
07 Sep 2016
Visual Saliency Detection Based on Multiscale Deep CNN Features
Visual Saliency Detection Based on Multiscale Deep CNN Features
Guanbin Li
Yizhou Yu
FAtt
47
337
0
07 Sep 2016
Human pose estimation via Convolutional Part Heatmap Regression
Human pose estimation via Convolutional Part Heatmap Regression
Adrian Bulat
Georgios Tzimiropoulos
3DH
38
517
0
06 Sep 2016
Best-Buddies Similarity - Robust Template Matching using Mutual Nearest
  Neighbors
Best-Buddies Similarity - Robust Template Matching using Mutual Nearest Neighbors
Shaul Oron
Tali Dekel
Tianfan Xue
William T. Freeman
S. Avidan
3DV
27
80
0
06 Sep 2016
Deep Retinal Image Understanding
Deep Retinal Image Understanding
Kevis-Kokitsi Maninis
Jordi Pont-Tuset
Pablo Arbeláez
Luc Van Gool
33
507
0
05 Sep 2016
A Deep Multi-Level Network for Saliency Prediction
A Deep Multi-Level Network for Saliency Prediction
Marcella Cornia
Lorenzo Baraldi
G. Serra
Rita Cucchiara
FAtt
34
345
0
05 Sep 2016
Defeating Image Obfuscation with Deep Learning
Defeating Image Obfuscation with Deep Learning
R. McPherson
Reza Shokri
Vitaly Shmatikov
CVBM
27
168
0
01 Sep 2016
Deep Learning Human Mind for Automated Visual Classification
Deep Learning Human Mind for Automated Visual Classification
C. Spampinato
S. Palazzo
I. Kavasidis
Daniela Giordano
M. Shah
Nasim Souly
36
224
0
01 Sep 2016
Grid Loss: Detecting Occluded Faces
Grid Loss: Detecting Occluded Faces
M. Opitz
Georg Waltner
Georg Poier
Horst Possegger
Horst Bischof
CVBM
41
76
0
01 Sep 2016
Robustness of classifiers: from adversarial to random noise
Robustness of classifiers: from adversarial to random noise
Alhussein Fawzi
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
AAML
22
370
0
31 Aug 2016
Pruning Filters for Efficient ConvNets
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
126
3,669
0
31 Aug 2016
What makes ImageNet good for transfer learning?
What makes ImageNet good for transfer learning?
Minyoung Huh
Pulkit Agrawal
Alexei A. Efros
OOD
SSeg
VLM
SSL
62
675
0
30 Aug 2016
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
16
25
0
30 Aug 2016
Visual Question: Predicting If a Crowd Will Agree on the Answer
Visual Question: Predicting If a Crowd Will Agree on the Answer
Danna Gurari
Kristen Grauman
HAI
29
2
0
29 Aug 2016
Linking Image and Text with 2-Way Nets
Linking Image and Text with 2-Way Nets
Aviv Eisenschtat
Lior Wolf
38
176
0
29 Aug 2016
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