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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 / 13,284 papers shown
Title
Monocular Object Instance Segmentation and Depth Ordering with CNNs
Monocular Object Instance Segmentation and Depth Ordering with CNNs
Ziyu Zhang
Alex Schwing
Sanja Fidler
R. Urtasun
31
158
0
12 May 2015
DeepBox: Learning Objectness with Convolutional Networks
DeepBox: Learning Objectness with Convolutional Networks
Weicheng Kuo
Bharath Hariharan
Jitendra Malik
ObjD
30
184
0
08 May 2015
Jointly Modeling Embedding and Translation to Bridge Video and Language
Jointly Modeling Embedding and Translation to Bridge Video and Language
Yingwei Pan
Tao Mei
Ting Yao
Houqiang Li
Y. Rui
41
535
0
07 May 2015
Language Models for Image Captioning: The Quirks and What Works
Language Models for Image Captioning: The Quirks and What Works
Jacob Devlin
Hao Cheng
Hao Fang
Saurabh Gupta
Li Deng
Xiaodong He
Geoffrey Zweig
Margaret Mitchell
32
281
0
07 May 2015
Object detection via a multi-region & semantic segmentation-aware CNN
  model
Object detection via a multi-region & semantic segmentation-aware CNN model
Spyros Gidaris
N. Komodakis
ObjD
SSeg
33
735
0
07 May 2015
Webly Supervised Learning of Convolutional Networks
Webly Supervised Learning of Convolutional Networks
Xinlei Chen
Abhinav Gupta
SSL
44
370
0
07 May 2015
Contextual Action Recognition with R*CNN
Contextual Action Recognition with R*CNN
Georgia Gkioxari
Ross B. Girshick
Jitendra Malik
HAI
20
401
0
05 May 2015
Deep Learning for Object Saliency Detection and Image Segmentation
Deep Learning for Object Saliency Detection and Image Segmentation
H. Pan
Bo Wang
Hui Jiang
38
18
0
05 May 2015
Ask Your Neurons: A Neural-based Approach to Answering Questions about
  Images
Ask Your Neurons: A Neural-based Approach to Answering Questions about Images
Mateusz Malinowski
Marcus Rohrbach
Mario Fritz
41
596
0
05 May 2015
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Multi-view Convolutional Neural Networks for 3D Shape Recognition
Hang Su
Subhransu Maji
E. Kalogerakis
Erik Learned-Miller
3DV
68
3,196
0
05 May 2015
Sequence to Sequence -- Video to Text
Sequence to Sequence -- Video to Text
Subhashini Venugopalan
Marcus Rohrbach
Jeff Donahue
Raymond J. Mooney
Trevor Darrell
Kate Saenko
57
1,416
0
03 May 2015
VQA: Visual Question Answering
VQA: Visual Question Answering
Aishwarya Agrawal
Jiasen Lu
Stanislaw Antol
Margaret Mitchell
C. L. Zitnick
Dhruv Batra
Devi Parikh
CoGe
96
5,383
0
03 May 2015
Highway Networks
Highway Networks
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
71
1,760
0
03 May 2015
Learning Temporal Embeddings for Complex Video Analysis
Learning Temporal Embeddings for Complex Video Analysis
Vignesh Ramanathan
K. Tang
Greg Mori
Li Fei-Fei
34
71
0
02 May 2015
Object-Scene Convolutional Neural Networks for Event Recognition in
  Images
Object-Scene Convolutional Neural Networks for Event Recognition in Images
Limin Wang
Zhe Wang
Wenbin Du
Yu Qiao
40
66
0
02 May 2015
Joint Object and Part Segmentation using Deep Learned Potentials
Joint Object and Part Segmentation using Deep Learned Potentials
Peng Wang
Xiaohui Shen
Zhe Lin
Scott D. Cohen
Brian L. Price
Alan Yuille
37
123
0
01 May 2015
Pose Induction for Novel Object Categories
Pose Induction for Novel Object Categories
Shubham Tulsiani
João Carreira
Jitendra Malik
34
35
0
01 May 2015
PerforatedCNNs: Acceleration through Elimination of Redundant
  Convolutions
PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions
Mikhail Figurnov
Aizhan Ibraimova
Dmitry Vetrov
Pushmeet Kohli
32
137
0
30 Apr 2015
Deep Neural Networks with Random Gaussian Weights: A Universal
  Classification Strategy?
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?
Raja Giryes
Guillermo Sapiro
A. Bronstein
47
187
0
30 Apr 2015
Neural Activation Constellations: Unsupervised Part Model Discovery with
  Convolutional Networks
Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks
Marcel Simon
E. Rodner
39
412
0
30 Apr 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
169
24,842
0
30 Apr 2015
Learning like a Child: Fast Novel Visual Concept Learning from Sentence
  Descriptions of Images
Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images
Junhua Mao
Xu Wei
Yi Yang
Jiang Wang
Zhiheng Huang
Alan Yuille
25
154
0
25 Apr 2015
Holistically-Nested Edge Detection
Holistically-Nested Edge Detection
Saining Xie
Zhuowen Tu
64
3,469
0
24 Apr 2015
Object Detection Networks on Convolutional Feature Maps
Object Detection Networks on Convolutional Feature Maps
Shaoqing Ren
Kaiming He
Ross B. Girshick
Xinming Zhang
Jian Sun
ObjD
27
408
0
23 Apr 2015
Multimodal Convolutional Neural Networks for Matching Image and Sentence
Multimodal Convolutional Neural Networks for Matching Image and Sentence
Lin Ma
Zhengdong Lu
Lifeng Shang
Hang Li
38
337
0
23 Apr 2015
Convolutional Neural Network-Based Image Representation for Visual Loop
  Closure Detection
Convolutional Neural Network-Based Image Representation for Visual Loop Closure Detection
Yi Hou
Hong Zhang
Shilin Zhou
31
167
0
20 Apr 2015
Exploiting Local Features from Deep Networks for Image Retrieval
Exploiting Local Features from Deep Networks for Image Retrieval
Joe Yue-Hei Ng
Fan Yang
L. Davis
FAtt
41
412
0
20 Apr 2015
Visual Recognition Using Directional Distribution Distance
Visual Recognition Using Directional Distribution Distance
Jianxin Wu
Bin-Bin Gao
Guoqing Liu
42
5
0
19 Apr 2015
Learning to Compare Image Patches via Convolutional Neural Networks
Learning to Compare Image Patches via Convolutional Neural Networks
Sergey Zagoruyko
N. Komodakis
SSL
36
1,434
0
14 Apr 2015
When Face Recognition Meets with Deep Learning: an Evaluation of
  Convolutional Neural Networks for Face Recognition
When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition
Guosheng Hu
Yongxin Yang
Dong Yi
J. Kittler
William Christmas
Stan Z. Li
Timothy M. Hospedales
CVBM
3DV
41
317
0
09 Apr 2015
Efficient piecewise training of deep structured models for semantic
  segmentation
Efficient piecewise training of deep structured models for semantic segmentation
Guosheng Lin
Chunhua Shen
Anton van dan Hengel
Ian Reid
VLM
SSeg
55
923
0
04 Apr 2015
Fully Connected Deep Structured Networks
Fully Connected Deep Structured Networks
Alex Schwing
R. Urtasun
SSeg
68
308
0
09 Mar 2015
Color Image Classification via Quaternion Principal Component Analysis
  Network
Color Image Classification via Quaternion Principal Component Analysis Network
Rui Zeng
Jiasong Wu
Zhuhong Shao
Yang Chen
L. Senhadji
H. Shu
21
71
0
05 Mar 2015
What's Cookin'? Interpreting Cooking Videos using Text, Speech and
  Vision
What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision
J. Malmaud
Jonathan Huang
V. Rathod
Nick Johnston
Andrew Rabinovich
Kevin Patrick Murphy
36
152
0
05 Mar 2015
Learning Depth from Single Monocular Images Using Deep Convolutional
  Neural Fields
Learning Depth from Single Monocular Images Using Deep Convolutional Neural Fields
Fayao Liu
Chunhua Shen
Guosheng Lin
Ian Reid
MDE
69
1,194
0
26 Feb 2015
Measuring and Understanding Sensory Representations within Deep Networks
  Using a Numerical Optimization Framework
Measuring and Understanding Sensory Representations within Deep Networks Using a Numerical Optimization Framework
Chuan-Yung Tsai
David D. Cox
29
7
0
17 Feb 2015
segDeepM: Exploiting Segmentation and Context in Deep Neural Networks
  for Object Detection
segDeepM: Exploiting Segmentation and Context in Deep Neural Networks for Object Detection
Yukun Zhu
R. Urtasun
Ruslan Salakhutdinov
Sanja Fidler
ObjD
31
157
0
15 Feb 2015
Phrase-based Image Captioning
Phrase-based Image Captioning
R. Lebret
Pedro H. O. Pinheiro
R. Collobert
VLM
31
120
0
12 Feb 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
136
43,050
0
11 Feb 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual
  Attention
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Ke Xu
Jimmy Ba
Ryan Kiros
Kyunghyun Cho
Aaron Courville
Ruslan Salakhutdinov
R. Zemel
Yoshua Bengio
DiffM
160
10,011
0
10 Feb 2015
Analysis of classifiers' robustness to adversarial perturbations
Analysis of classifiers' robustness to adversarial perturbations
Alhussein Fawzi
Omar Fawzi
P. Frossard
AAML
46
361
0
09 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
29
18,474
0
06 Feb 2015
Hyper-parameter optimization of Deep Convolutional Networks for object
  recognition
Hyper-parameter optimization of Deep Convolutional Networks for object recognition
S. Talathi
37
25
0
30 Jan 2015
Geodesic convolutional neural networks on Riemannian manifolds
Geodesic convolutional neural networks on Riemannian manifolds
Jonathan Masci
Davide Boscaini
M. Bronstein
P. Vandergheynst
34
60
0
26 Jan 2015
Taking a Deeper Look at Pedestrians
Taking a Deeper Look at Pedestrians
J. Hosang
Mohamed Omran
Rodrigo Benenson
Bernt Schiele
38
350
0
23 Jan 2015
Deep Image: Scaling up Image Recognition
Ren Wu
Shengen Yan
Yi Shan
Qingqing Dang
Gang Sun
VLM
41
373
0
13 Jan 2015
Learning Deep Object Detectors from 3D Models
Learning Deep Object Detectors from 3D Models
Xingchao Peng
Baochen Sun
Karim Ali
Kate Saenko
3DPC
3DV
35
59
0
22 Dec 2014
Semantic Image Segmentation with Deep Convolutional Nets and Fully
  Connected CRFs
Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
33
4,869
0
22 Dec 2014
Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)
Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)
Junhua Mao
Wenyuan Xu
Yi Yang
Jiang Wang
Zhiheng Huang
Alan Yuille
VLM
86
1,235
0
20 Dec 2014
Visualizing and Comparing Convolutional Neural Networks
Visualizing and Comparing Convolutional Neural Networks
Wei Yu
Kuiyuan Yang
Yalong Bai
Huanjin Yao
Y. Rui
SSL
40
50
0
20 Dec 2014
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