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Going Deeper with Convolutions

Going Deeper with Convolutions

Computer Vision and Pattern Recognition (CVPR), 2014
17 September 2014
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
ArXiv (abs)PDFHTML

Papers citing "Going Deeper with Convolutions"

50 / 9,323 papers shown
DeepFool: a simple and accurate method to fool deep neural networks
DeepFool: a simple and accurate method to fool deep neural networks
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
P. Frossard
AAML
806
5,263
0
14 Nov 2015
Learning Fine-grained Features via a CNN Tree for Large-scale
  Classification
Learning Fine-grained Features via a CNN Tree for Large-scale Classification
Zhenhua Wang
Xingxing Wang
G. Wang
208
50
0
14 Nov 2015
Efficient Training of Very Deep Neural Networks for Supervised Hashing
Efficient Training of Very Deep Neural Networks for Supervised Hashing
Ziming Zhang
Yuting Chen
Venkatesh Saligrama
226
8
0
14 Nov 2015
Reversible Recursive Instance-level Object Segmentation
Reversible Recursive Instance-level Object Segmentation
Xiaodan Liang
Yunchao Wei
Xiaohui Shen
Zequn Jie
Jiashi Feng
Liang Lin
Shuicheng Yan
SSegISeg
144
60
0
14 Nov 2015
Semantic Object Parsing with Local-Global Long Short-Term Memory
Semantic Object Parsing with Local-Global Long Short-Term Memory
Xiaodan Liang
Xiaohui Shen
Donglai Xiang
Jiashi Feng
Liang Lin
Shuicheng Yan
208
188
0
14 Nov 2015
Structure Inference Machines: Recurrent Neural Networks for Analyzing
  Relations in Group Activity Recognition
Structure Inference Machines: Recurrent Neural Networks for Analyzing Relations in Group Activity Recognition
Zhiwei Deng
Arash Vahdat
Hexiang Hu
Greg Mori
BDLGNN
211
249
0
13 Nov 2015
Deep Mean Maps
Deep Mean Maps
Junier B. Oliva
Danica J. Sutherland
Barnabás Póczós
J. Schneider
179
8
0
13 Nov 2015
Action Recognition using Visual Attention
Action Recognition using Visual Attention
Shikhar Sharma
Ryan Kiros
Ruslan Salakhutdinov
341
678
0
12 Nov 2015
Going Deeper in Facial Expression Recognition using Deep Neural Networks
Going Deeper in Facial Expression Recognition using Deep Neural Networks
A. Mollahosseini
David M. Chan
Mohammad H. Mahoor
160
925
0
12 Nov 2015
Basic Level Categorization Facilitates Visual Object Recognition
Basic Level Categorization Facilitates Visual Object Recognition
Panqu Wang
G. Cottrell
206
16
0
12 Nov 2015
Representational Distance Learning for Deep Neural Networks
Representational Distance Learning for Deep Neural Networks
Patrick McClure
N. Kriegeskorte
209
50
0
12 Nov 2015
Improving performance of recurrent neural network with relu nonlinearity
Improving performance of recurrent neural network with relu nonlinearity
S. Talathi
Aniket A. Vartak
ODL
184
93
0
12 Nov 2015
Universum Prescription: Regularization using Unlabeled Data
Universum Prescription: Regularization using Unlabeled Data
Xiang Zhang
Yann LeCun
309
32
0
11 Nov 2015
Hierarchical Recurrent Neural Encoder for Video Representation with
  Application to Captioning
Hierarchical Recurrent Neural Encoder for Video Representation with Application to Captioning
Pingbo Pan
Zhongwen Xu
Yi Yang
Leilei Gan
Yueting Zhuang
174
393
0
11 Nov 2015
Attention to Scale: Scale-aware Semantic Image Segmentation
Attention to Scale: Scale-aware Semantic Image Segmentation
Liang-Chieh Chen
Yi Yang
Jiang Wang
Wei Xu
Alan Yuille
SSeg
302
1,372
0
10 Nov 2015
Analyzing Stability of Convolutional Neural Networks in the Frequency
  Domain
Analyzing Stability of Convolutional Neural Networks in the Frequency Domain
E. J. Heravi
H. H. Aghdam
D. Puig
FAtt
125
3
0
10 Nov 2015
Traffic Sign Classification Using Deep Inception Based Convolutional
  Networks
Traffic Sign Classification Using Deep Inception Based Convolutional Networks
Mrinal Haloi
138
43
0
10 Nov 2015
Reducing the Training Time of Neural Networks by Partitioning
Reducing the Training Time of Neural Networks by Partitioning
C. Miranda
F. J. Zuben
146
8
0
10 Nov 2015
Explicit Knowledge-based Reasoning for Visual Question Answering
Explicit Knowledge-based Reasoning for Visual Question Answering
Peng Wang
Qi Wu
Chunhua Shen
Anton Van Den Hengel
A. Dick
233
283
0
09 Nov 2015
VideoStory Embeddings Recognize Events when Examples are Scarce
VideoStory Embeddings Recognize Events when Examples are Scarce
A. Habibian
Thomas Mensink
Cees G. M. Snoek
179
11
0
08 Nov 2015
(Yet) Another Theoretical Model of Thinking
(Yet) Another Theoretical Model of Thinking
Patrick Virie
LRM
99
0
0
08 Nov 2015
Stacked Attention Networks for Image Question Answering
Stacked Attention Networks for Image Question Answering
Zichao Yang
Xiaodong He
Jianfeng Gao
Li Deng
Alex Smola
BDL
428
1,981
0
07 Nov 2015
Learning Visual Features from Large Weakly Supervised Data
Learning Visual Features from Large Weakly Supervised Data
Armand Joulin
Laurens van der Maaten
Allan Jabri
Nicolas Vasilache
SSL
214
425
0
06 Nov 2015
Pooling the Convolutional Layers in Deep ConvNets for Action Recognition
Pooling the Convolutional Layers in Deep ConvNets for Action Recognition
Shichao Zhao
Yanbin Liu
Yahong Han
Richang Hong
FAtt
131
64
0
06 Nov 2015
Convolutional Neural Network for Stereotypical Motor Movement Detection
  in Autism
Convolutional Neural Network for Stereotypical Motor Movement Detection in Autism
N. M. Rad
A. Bizzego
S. M. Kia
Giuseppe Jurman
Paola Venuti
Cesare Furlanello
197
33
0
05 Nov 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
2.0K
17,357
0
02 Nov 2015
Pixel-wise Segmentation of Street with Neural Networks
Pixel-wise Segmentation of Street with Neural Networks
Sebastian Bittel
Vitali Kaiser
Marvin Teichmann
Martin Thoma
SSeg
122
23
0
02 Nov 2015
BinaryConnect: Training Deep Neural Networks with binary weights during
  propagations
BinaryConnect: Training Deep Neural Networks with binary weights during propagations
Matthieu Courbariaux
Yoshua Bengio
J. David
MQ
653
3,138
0
02 Nov 2015
FireCaffe: near-linear acceleration of deep neural network training on
  compute clusters
FireCaffe: near-linear acceleration of deep neural network training on compute clusters
F. Iandola
Khalid Ashraf
Matthew W. Moskewicz
Kurt Keutzer
366
309
0
31 Oct 2015
Confusing Deep Convolution Networks by Relabelling
Confusing Deep Convolution Networks by Relabelling
Leigh Robinson
Benjamin Graham
53
3
0
23 Oct 2015
DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object
  Detection
DeepSaliency: Multi-Task Deep Neural Network Model for Salient Object Detection
Xi Li
Liming Zhao
Lina Wei
Ming-Hsuan Yang
Leilei Gan
Yueting Zhuang
Haibin Ling
Jingdong Wang
262
507
0
19 Oct 2015
No Spare Parts: Sharing Part Detectors for Image Categorization
No Spare Parts: Sharing Part Detectors for Image Categorization
Pascal Mettes
Jan van Gemert
Cees G. M. Snoek
171
12
0
16 Oct 2015
Better Exploiting OS-CNNs for Better Event Recognition in Images
Better Exploiting OS-CNNs for Better Event Recognition in Images
Limin Wang
Zhe Wang
Sheng Guo
Yu Qiao
136
24
0
14 Oct 2015
Adopting Robustness and Optimality in Fitting and Learning
Adopting Robustness and Optimality in Fitting and Learning
Zhiguang Wang
Tim Oates
J. Lo
257
2
0
13 Oct 2015
Wide-Area Image Geolocalization with Aerial Reference Imagery
Wide-Area Image Geolocalization with Aerial Reference Imagery
Scott Workman
Richard Souvenir
Nathan Jacobs
218
389
0
13 Oct 2015
Deep convolutional neural networks for pedestrian detection
Deep convolutional neural networks for pedestrian detection
Denis Tomè
Federico Monti
L. Baroffio
Luca Bondi
Marco Tagliasacchi
Stefano Tubaro
3DH
309
203
0
13 Oct 2015
Text-Attentional Convolutional Neural Networks for Scene Text Detection
Text-Attentional Convolutional Neural Networks for Scene Text Detection
Tong He
Weilin Huang
Yu Qiao
Jian Yao
143
317
0
12 Oct 2015
DeepFix: A Fully Convolutional Neural Network for predicting Human Eye
  Fixations
DeepFix: A Fully Convolutional Neural Network for predicting Human Eye Fixations
S. Kruthiventi
Kumar Ayush
R. Venkatesh Babu
224
501
0
10 Oct 2015
AtomNet: A Deep Convolutional Neural Network for Bioactivity Prediction
  in Structure-based Drug Discovery
AtomNet: A Deep Convolutional Neural Network for Bioactivity Prediction in Structure-based Drug Discovery
Izhar Wallach
Michael Dzamba
Abraham Heifets
206
574
0
10 Oct 2015
Where Is My Puppy? Retrieving Lost Dogs by Facial Features
Where Is My Puppy? Retrieving Lost Dogs by Facial Features
Thierry Pinheiro Moreira
Mauricio Perez
R. D. O. Werneck
Eduardo Valle
CVBM
99
26
0
09 Oct 2015
Distilling Model Knowledge
Distilling Model Knowledge
George Papamakarios
BDL
96
18
0
08 Oct 2015
DeepLogo: Hitting Logo Recognition with the Deep Neural Network Hammer
DeepLogo: Hitting Logo Recognition with the Deep Neural Network Hammer
F. Iandola
Anting Shen
Peter Gao
Kurt Keutzer
162
83
0
07 Oct 2015
Resolving References to Objects in Photographs using the
  Words-As-Classifiers Model
Resolving References to Objects in Photographs using the Words-As-Classifiers Model
David Schlangen
Sina Zarrieß
C. Kennington
220
49
0
07 Oct 2015
Harvesting Discriminative Meta Objects with Deep CNN Features for Scene
  Classification
Harvesting Discriminative Meta Objects with Deep CNN Features for Scene Classification
Ruobing Wu
Baoyuan Wang
Wenping Wang
Yizhou Yu
146
136
0
06 Oct 2015
SentiCap: Generating Image Descriptions with Sentiments
SentiCap: Generating Image Descriptions with Sentiments
A. Mathews
Lexing Xie
Xuming He
244
234
0
06 Oct 2015
Efficient Object Detection for High Resolution Images
Efficient Object Detection for High Resolution Images
Y. Lu
T. Javidi
ObjD
137
12
0
05 Oct 2015
Human Action Recognition using Factorized Spatio-Temporal Convolutional
  Networks
Human Action Recognition using Factorized Spatio-Temporal Convolutional Networks
Lin Sun
Kui Jia
Dit-Yan Yeung
Bertram E. Shi
232
541
0
02 Oct 2015
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained
  Quantization and Huffman Coding
Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding
Song Han
Huizi Mao
W. Dally
3DGS
1.1K
9,619
0
01 Oct 2015
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed,
  Gated, and Tree
Generalizing Pooling Functions in Convolutional Neural Networks: Mixed, Gated, and Tree
Chen-Yu Lee
Patrick W. Gallagher
Zhuowen Tu
AI4CE
275
508
0
30 Sep 2015
Conditional Deep Learning for Energy-Efficient and Enhanced Pattern
  Recognition
Conditional Deep Learning for Energy-Efficient and Enhanced Pattern Recognition
Priyadarshini Panda
Abhronil Sengupta
Kaushik Roy
363
198
0
29 Sep 2015
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