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

Very Deep Convolutional Networks for Large-Scale Image Recognition

4 September 2014
Karen Simonyan
Andrew Zisserman
    FAttMDE
ArXiv (abs)PDFHTML

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

33 / 19,033 papers shown
Title
Learning Spatiotemporal Features with 3D Convolutional Networks
Learning Spatiotemporal Features with 3D Convolutional Networks
Du Tran
Lubomir D. Bourdev
Rob Fergus
Lorenzo Torresani
Manohar Paluri
3DPC
117
411
0
02 Dec 2014
Material Recognition in the Wild with the Materials in Context Database
Material Recognition in the Wild with the Materials in Context Database
Sean Bell
P. Upchurch
Noah Snavely
Kavita Bala
116
525
0
01 Dec 2014
Untangling Local and Global Deformations in Deep Convolutional Networks
  for Image Classification and Sliding Window Detection
Untangling Local and Global Deformations in Deep Convolutional Networks for Image Classification and Sliding Window Detection
George Papandreou
Iasonas Kokkinos
Pierre-André Savalle
74
47
0
30 Nov 2014
Learning Face Representation from Scratch
Learning Face Representation from Scratch
Dong Yi
Zhen Lei
Tianran Ouyang
Stan Z. Li
CVBM
155
2,013
0
28 Nov 2014
Fisher Vectors Derived from Hybrid Gaussian-Laplacian Mixture Models for
  Image Annotation
Fisher Vectors Derived from Hybrid Gaussian-Laplacian Mixture Models for Image Annotation
Benjamin Klein
Guy Lev
Gil Sadeh
Lior Wolf
109
102
0
26 Nov 2014
Deep convolutional filter banks for texture recognition and segmentation
Deep convolutional filter banks for texture recognition and segmentation
Mircea Cimpoi
Subhransu Maji
Andrea Vedaldi
3DV
105
54
0
25 Nov 2014
Beyond Gaussian Pyramid: Multi-skip Feature Stacking for Action
  Recognition
Beyond Gaussian Pyramid: Multi-skip Feature Stacking for Action Recognition
Zhenzhong Lan
Ming Lin
Xuanchong Li
Alexander G. Hauptmann
Bhiksha Raj
117
293
0
24 Nov 2014
The Application of Two-level Attention Models in Deep Convolutional
  Neural Network for Fine-grained Image Classification
The Application of Two-level Attention Models in Deep Convolutional Neural Network for Fine-grained Image Classification
Tianjun Xiao
Yichong Xu
Kuiyuan Yang
Jiaxing Zhang
Yuxin Peng
Zheng Zhang
239
792
0
24 Nov 2014
Scale-Invariant Convolutional Neural Networks
Scale-Invariant Convolutional Neural Networks
Yichong Xu
Tianjun Xiao
Jiaxing Zhang
Kuiyuan Yang
Zheng Zhang
122
138
0
24 Nov 2014
Viewpoints and Keypoints
Viewpoints and Keypoints
Shubham Tulsiani
Jitendra Malik
81
398
0
22 Nov 2014
Understanding image representations by measuring their equivariance and
  equivalence
Understanding image representations by measuring their equivariance and equivalence
Karel Lenc
Andrea Vedaldi
SSLFAtt
199
538
0
21 Nov 2014
Hypercolumns for Object Segmentation and Fine-grained Localization
Hypercolumns for Object Segmentation and Fine-grained Localization
Bharath Hariharan
Pablo Arbeláez
Ross B. Girshick
Jitendra Malik
SSeg
155
1,597
0
21 Nov 2014
Salient Object Detection: A Survey
Salient Object Detection: A Survey
Ali Borji
Ming-Ming Cheng
Qibin Hou
Huaizu Jiang
Jia Li
153
765
0
18 Nov 2014
From Captions to Visual Concepts and Back
From Captions to Visual Concepts and Back
Hao Fang
Saurabh Gupta
F. Iandola
R. Srivastava
Li Deng
...
Xiaodong He
Margaret Mitchell
John C. Platt
C. L. Zitnick
Geoffrey Zweig
VLM
195
1,312
0
18 Nov 2014
Predicting Depth, Surface Normals and Semantic Labels with a Common
  Multi-Scale Convolutional Architecture
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture
David Eigen
Rob Fergus
VLMMDE
223
2,685
0
18 Nov 2014
Long-term Recurrent Convolutional Networks for Visual Recognition and
  Description
Long-term Recurrent Convolutional Networks for Visual Recognition and Description
Jeff Donahue
Lisa Anne Hendricks
Marcus Rohrbach
Subhashini Venugopalan
S. Guadarrama
Kate Saenko
Trevor Darrell
VLM
183
6,066
0
17 Nov 2014
Efficient and Accurate Approximations of Nonlinear Convolutional
  Networks
Efficient and Accurate Approximations of Nonlinear Convolutional Networks
Xinming Zhang
Jianhua Zou
Xiang Ming
Kaiming He
Jian Sun
3DV
105
263
0
16 Nov 2014
A Discriminative CNN Video Representation for Event Detection
A Discriminative CNN Video Representation for Event Detection
Zhongwen Xu
Yi Yang
Alexander G. Hauptmann
111
451
0
14 Nov 2014
Unifying Visual-Semantic Embeddings with Multimodal Neural Language
  Models
Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models
Ryan Kiros
Ruslan Salakhutdinov
R. Zemel
VLM
135
1,402
0
10 Nov 2014
Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on
  ImageNet
Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet
Matthias Kümmerer
Lucas Theis
Matthias Bethge
FAtt
142
407
0
04 Nov 2014
Towards a Visual Turing Challenge
Towards a Visual Turing Challenge
Mateusz Malinowski
Mario Fritz
106
74
0
29 Oct 2014
Random Sampling in an Age of Automation: Minimizing Expenditures through
  Balanced Collection and Annotation
Random Sampling in an Age of Automation: Minimizing Expenditures through Balanced Collection and Annotation
Oscar Beijbom
32
2
0
26 Oct 2014
Local Rademacher Complexity for Multi-label Learning
Local Rademacher Complexity for Multi-label Learning
Chang Xu
Tongliang Liu
Dacheng Tao
Chao Xu
96
81
0
26 Oct 2014
Deep Representations for Iris, Face, and Fingerprint Spoofing Detection
Deep Representations for Iris, Face, and Fingerprint Spoofing Detection
David Menotti
G. Chiachia
A. Pinto
William Robson Schwartz
Hélio Pedrini
Alexandre Xavier Falcão
Anderson de Rezende Rocha
CVBM
111
458
0
08 Oct 2014
Explain Images with Multimodal Recurrent Neural Networks
Explain Images with Multimodal Recurrent Neural Networks
Junhua Mao
Wenyuan Xu
Yi Yang
Jiang Wang
Alan Yuille
VLMGAN
127
385
0
04 Oct 2014
Spatially-sparse convolutional neural networks
Spatially-sparse convolutional neural networks
Benjamin Graham
105
231
0
22 Sep 2014
Deeply-Supervised Nets
Deeply-Supervised Nets
Chen-Yu Lee
Saining Xie
Patrick W. Gallagher
Zhengyou Zhang
Zhuowen Tu
359
2,245
0
18 Sep 2014
Transfer Learning for Video Recognition with Scarce Training Data for
  Deep Convolutional Neural Network
Transfer Learning for Video Recognition with Scarce Training Data for Deep Convolutional Neural Network
Yu-Chuan Su
Tzu-Hsuan Chiu
Chun-Yen Yeh
Hsinfu Huang
Winston H. Hsu
69
27
0
15 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLMObjD
1.7K
39,729
0
01 Sep 2014
Factors of Transferability for a Generic ConvNet Representation
Factors of Transferability for a Generic ConvNet Representation
Hossein Azizpour
A. Razavian
Josephine Sullivan
A. Maki
S. Carlsson
104
421
0
22 Jun 2014
CNN: Single-label to Multi-label
CNN: Single-label to Multi-label
Yunchao Wei
Wei Xia
Junshi Huang
Bingbing Ni
Jian Dong
Yao-Min Zhao
Shuicheng Yan
130
676
0
22 Jun 2014
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual
  Recognition
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
ObjD
443
11,290
0
18 Jun 2014
Rich feature hierarchies for accurate object detection and semantic
  segmentation
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
502
26,281
0
11 Nov 2013
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