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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 / 13,190 papers shown
Title
How to scale distributed deep learning?
How to scale distributed deep learning?
Peter H. Jin
Qiaochu Yuan
F. Iandola
Kurt Keutzer
3DH
27
136
0
14 Nov 2016
Zero-resource Machine Translation by Multimodal Encoder-decoder Network
  with Multimedia Pivot
Zero-resource Machine Translation by Multimodal Encoder-decoder Network with Multimedia Pivot
Hideki Nakayama
Noriki Nishida
32
62
0
14 Nov 2016
Automatic discovery of discriminative parts as a quadratic assignment
  problem
Automatic discovery of discriminative parts as a quadratic assignment problem
R. Sicre
Julien Rabin
Yannis Avrithis
Teddy Furon
F. Jurie
39
6
0
14 Nov 2016
Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning
Growing Interpretable Part Graphs on ConvNets via Multi-Shot Learning
Quanshi Zhang
Ruiming Cao
Ying Nian Wu
Song-Chun Zhu
28
70
0
14 Nov 2016
Convolutional Regression for Visual Tracking
Convolutional Regression for Visual Tracking
Kai Chen
Wenbing Tao
26
50
0
14 Nov 2016
Least Squares Generative Adversarial Networks
Least Squares Generative Adversarial Networks
Xudong Mao
Qing Li
Haoran Xie
Raymond Y. K. Lau
Zhen Wang
Stephen Paul Smolley
GAN
148
4,539
0
13 Nov 2016
Leveraging Video Descriptions to Learn Video Question Answering
Leveraging Video Descriptions to Learn Video Question Answering
Kuo-Hao Zeng
Tseng-Hung Chen
Ching-Yao Chuang
Yuan-Hong Liao
Juan Carlos Niebles
Min Sun
32
175
0
12 Nov 2016
When Fashion Meets Big Data: Discriminative Mining of Best Selling
  Clothing Features
When Fashion Meets Big Data: Discriminative Mining of Best Selling Clothing Features
Kuan-Ting Chen
Jiebo Luo
18
29
0
11 Nov 2016
Learning Multi-Scale Deep Features for High-Resolution Satellite Image
  Classification
Learning Multi-Scale Deep Features for High-Resolution Satellite Image Classification
Qingshan Liu
Renlong Hang
Huihui Song
Zhi Li
41
31
0
11 Nov 2016
Ultimate tensorization: compressing convolutional and FC layers alike
Ultimate tensorization: compressing convolutional and FC layers alike
T. Garipov
D. Podoprikhin
Alexander Novikov
Dmitry Vetrov
39
190
0
10 Nov 2016
Delving into Transferable Adversarial Examples and Black-box Attacks
Delving into Transferable Adversarial Examples and Black-box Attacks
Yanpei Liu
Xinyun Chen
Chang-rui Liu
D. Song
AAML
33
1,723
0
08 Nov 2016
Neural Taylor Approximations: Convergence and Exploration in Rectifier
  Networks
Neural Taylor Approximations: Convergence and Exploration in Rectifier Networks
David Balduzzi
Brian McWilliams
T. Butler-Yeoman
32
28
0
07 Nov 2016
Spatiotemporal Residual Networks for Video Action Recognition
Spatiotemporal Residual Networks for Video Action Recognition
Christoph Feichtenhofer
A. Pinz
Richard P. Wildes
68
716
0
07 Nov 2016
Deep Label Distribution Learning with Label Ambiguity
Deep Label Distribution Learning with Label Ambiguity
Bin-Bin Gao
Chao Xing
Chen-Wei Xie
Jianxin Wu
Xin Geng
27
418
0
06 Nov 2016
Boosting Image Captioning with Attributes
Boosting Image Captioning with Attributes
Ting Yao
Yingwei Pan
Yehao Li
Zhaofan Qiu
Tao Mei
VLM
48
620
0
05 Nov 2016
What Is the Best Practice for CNNs Applied to Visual Instance Retrieval?
What Is the Best Practice for CNNs Applied to Visual Instance Retrieval?
Jiedong Hao
Jing Dong
Wei Wang
Tieniu Tan
35
10
0
05 Nov 2016
Sparsely-Connected Neural Networks: Towards Efficient VLSI
  Implementation of Deep Neural Networks
Sparsely-Connected Neural Networks: Towards Efficient VLSI Implementation of Deep Neural Networks
A. Ardakani
C. Condo
W. Gross
33
40
0
04 Nov 2016
Demystifying ResNet
Demystifying ResNet
Sihan Li
Jiantao Jiao
Yanjun Han
Tsachy Weissman
38
38
0
03 Nov 2016
Dual Attention Networks for Multimodal Reasoning and Matching
Dual Attention Networks for Multimodal Reasoning and Matching
Hyeonseob Nam
Jung-Woo Ha
Jeonghee Kim
45
664
0
02 Nov 2016
A Benchmark Dataset and Saliency-guided Stacked Autoencoders for
  Video-based Salient Object Detection
A Benchmark Dataset and Saliency-guided Stacked Autoencoders for Video-based Salient Object Detection
Jia Li
Changqun Xia
Xiaowu Chen
26
129
0
01 Nov 2016
Doubly Convolutional Neural Networks
Doubly Convolutional Neural Networks
Shuangfei Zhai
Yu Cheng
Weining Lu
Zhongfei Zhang
OOD
3DV
24
63
0
30 Oct 2016
Visual Tracking via Boolean Map Representations
Visual Tracking via Boolean Map Representations
Kaihua Zhang
Qingshan Liu
Ming-Hsuan Yang
27
32
0
30 Oct 2016
Deep Model Compression: Distilling Knowledge from Noisy Teachers
Deep Model Compression: Distilling Knowledge from Noisy Teachers
Bharat Bhusan Sau
V. Balasubramanian
29
181
0
30 Oct 2016
Compact Deep Convolutional Neural Networks With Coarse Pruning
Compact Deep Convolutional Neural Networks With Coarse Pruning
S. Anwar
Wonyong Sung
3DPC
23
55
0
30 Oct 2016
Universal adversarial perturbations
Universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
Omar Fawzi
P. Frossard
AAML
74
2,513
0
26 Oct 2016
A Learned Representation For Artistic Style
A Learned Representation For Artistic Style
Vincent Dumoulin
Jonathon Shlens
M. Kudlur
GAN
214
1,156
0
24 Oct 2016
On Unifying Multi-View Self-Representations for Clustering by Tensor
  Multi-Rank Minimization
On Unifying Multi-View Self-Representations for Clustering by Tensor Multi-Rank Minimization
Yuan Xie
Dacheng Tao
Wensheng Zhang
Lei Zhang
Yan Liu
Yanyun Qu
33
363
0
23 Oct 2016
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
Marta Kwiatkowska
Sen Wang
Min Wu
AAML
183
933
0
21 Oct 2016
Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of
  Convolutional Neural Networks Approaches
Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of Convolutional Neural Networks Approaches
E. Rodner
Marcel Simon
Robert B. Fisher
Joachim Denzler
22
39
0
21 Oct 2016
Exploiting inter-image similarity and ensemble of extreme learners for
  fixation prediction using deep features
Exploiting inter-image similarity and ensemble of extreme learners for fixation prediction using deep features
Hamed R. Tavakoli
Ali Borji
Jorma T. Laaksonen
Esa Rahtu
19
78
0
20 Oct 2016
Small-footprint Highway Deep Neural Networks for Speech Recognition
Small-footprint Highway Deep Neural Networks for Speech Recognition
Liang Lu
Steve Renals
38
15
0
18 Oct 2016
Big Batch SGD: Automated Inference using Adaptive Batch Sizes
Big Batch SGD: Automated Inference using Adaptive Batch Sizes
Soham De
A. Yadav
David Jacobs
Tom Goldstein
ODL
37
62
0
18 Oct 2016
Master's Thesis : Deep Learning for Visual Recognition
Master's Thesis : Deep Learning for Visual Recognition
Rémi Cadène
Nicolas Thome
Matthieu Cord
39
4
0
18 Oct 2016
Achieving Human Parity in Conversational Speech Recognition
Achieving Human Parity in Conversational Speech Recognition
Wayne Xiong
J. Droppo
Xuedong Huang
Frank Seide
M. Seltzer
A. Stolcke
Dong Yu
Geoffrey Zweig
41
576
0
17 Oct 2016
RetiNet: Automatic AMD identification in OCT volumetric data
RetiNet: Automatic AMD identification in OCT volumetric data
S. Apostolopoulos
Carlos Ciller
Sandro De Zanet
Sebastian Wolf
Raphael Sznitman
24
34
0
12 Oct 2016
Deep Learning Assessment of Tumor Proliferation in Breast Cancer
  Histological Images
Deep Learning Assessment of Tumor Proliferation in Breast Cancer Histological Images
Manan A. Shah
Christopher A. Rubadue
D. Suster
Dayong Wang
18
40
0
11 Oct 2016
Learning Low Dimensional Convolutional Neural Networks for
  High-Resolution Remote Sensing Image Retrieval
Learning Low Dimensional Convolutional Neural Networks for High-Resolution Remote Sensing Image Retrieval
Weixun Zhou
Shawn D. Newsam
Congmin Li
Z. Shao
44
183
0
10 Oct 2016
Deep Pyramidal Residual Networks
Deep Pyramidal Residual Networks
Dongyoon Han
Jiwhan Kim
Junmo Kim
26
689
0
10 Oct 2016
Crafting GBD-Net for Object Detection
Crafting GBD-Net for Object Detection
Xingyu Zeng
Wanli Ouyang
Junjie Yan
Hongsheng Li
Tong Xiao
...
Yucong Zhou
Binh Yang
Zhe Wang
Hui Zhou
Xiaogang Wang
ObjD
24
138
0
08 Oct 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
100
19,634
0
07 Oct 2016
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDE
BDL
PINN
299
14,395
0
07 Oct 2016
Places: An Image Database for Deep Scene Understanding
Places: An Image Database for Deep Scene Understanding
Bolei Zhou
A. Khosla
Àgata Lapedriza
Antonio Torralba
A. Oliva
3DV
VLM
SSeg
38
458
0
06 Oct 2016
Driving in the Matrix: Can Virtual Worlds Replace Human-Generated
  Annotations for Real World Tasks?
Driving in the Matrix: Can Virtual Worlds Replace Human-Generated Annotations for Real World Tasks?
Matthew Johnson-Roberson
Charlie Barto
Rounak Mehta
S. N. Sridhar
Karl Rosaen
Ram Vasudevan
30
614
0
06 Oct 2016
Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by
  Fine-Grained Deep Learning
Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by Fine-Grained Deep Learning
Yu Wang
Haofu Liao
Yang Feng
Xiangyang Xu
Jiebo Luo
CVBM
33
25
0
06 Oct 2016
PCA-aided Fully Convolutional Networks for Semantic Segmentation of
  Multi-channel fMRI
PCA-aided Fully Convolutional Networks for Semantic Segmentation of Multi-channel fMRI
L. Tai
Haoyang Ye
Qiong Ye
Ming Liu
22
12
0
06 Oct 2016
A Deep Spatial Contextual Long-term Recurrent Convolutional Network for
  Saliency Detection
A Deep Spatial Contextual Long-term Recurrent Convolutional Network for Saliency Detection
Nian Liu
Junwei Han
38
189
0
06 Oct 2016
Exploiting Depth from Single Monocular Images for Object Detection and
  Semantic Segmentation
Exploiting Depth from Single Monocular Images for Object Detection and Semantic Segmentation
Yuanzhouhan Cao
Chunhua Shen
Heng Tao Shen
MDE
34
65
0
06 Oct 2016
DeepGaze II: Reading fixations from deep features trained on object
  recognition
DeepGaze II: Reading fixations from deep features trained on object recognition
Matthias Kümmerer
Thomas S. A. Wallis
Matthias Bethge
31
287
0
05 Oct 2016
Recognizing and Presenting the Storytelling Video Structure with Deep
  Multimodal Networks
Recognizing and Presenting the Storytelling Video Structure with Deep Multimodal Networks
Lorenzo Baraldi
C. Grana
Rita Cucchiara
21
48
0
05 Oct 2016
Knowledge Guided Disambiguation for Large-Scale Scene Classification
  with Multi-Resolution CNNs
Knowledge Guided Disambiguation for Large-Scale Scene Classification with Multi-Resolution CNNs
Limin Wang
Sheng Guo
Weilin Huang
Yuanjun Xiong
Yu Qiao
35
142
0
04 Oct 2016
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