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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 / 9,260 papers shown
Title
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
364
1,467
0
03 May 2015
ReNet: A Recurrent Neural Network Based Alternative to Convolutional
  Networks
ReNet: A Recurrent Neural Network Based Alternative to Convolutional Networks
Francesco Visin
Kyle Kastner
Dong Wang
Matteo Matteucci
Aaron Courville
Yoshua Bengio
SSeg
187
277
0
03 May 2015
Highway Networks
Highway Networks
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
721
1,844
0
03 May 2015
Can deep learning help you find the perfect match?
Can deep learning help you find the perfect match?
H. D. Vries
J. Yosinski
HAI
193
4
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
162
69
0
02 May 2015
Dense Optical Flow Prediction from a Static Image
Dense Optical Flow Prediction from a Static Image
Jacob Walker
Abhinav Gupta
M. Hebert
215
216
0
02 May 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
320
422
0
30 Apr 2015
Anticipating Visual Representations from Unlabeled Video
Anticipating Visual Representations from Unlabeled Video
Carl Vondrick
Hamed Pirsiavash
Antonio Torralba
185
146
0
29 Apr 2015
Bilinear CNNs for Fine-grained Visual Recognition
Bilinear CNNs for Fine-grained Visual Recognition
Tsung-Yu Lin
Aruni RoyChowdhury
Subhransu Maji
660
1,987
0
29 Apr 2015
Convolutional Channel Features
Convolutional Channel Features
Binh Yang
Junjie Yan
Zhen Lei
Stan Z. Li
231
19
0
28 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
296
425
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
273
348
0
23 Apr 2015
Deep Spatial Pyramid: The Devil is Once Again in the Details
Deep Spatial Pyramid: The Devil is Once Again in the Details
Bin-Bin Gao
Xiu-Shen Wei
Jianxin Wu
Weiyao Lin
208
53
0
21 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
192
422
0
20 Apr 2015
Color Constancy Using CNNs
Color Constancy Using CNNs
Luigi Celona
C. Cusano
Raimondo Schettini
3DV
143
217
0
17 Apr 2015
Linear Maximum Margin Classifier for Learning from Uncertain Data
Linear Maximum Margin Classifier for Learning from Uncertain Data
Christos Tzelepis
Vasileios Mezaris
Ioannis Patras
177
48
0
15 Apr 2015
Simultaneous Feature Learning and Hash Coding with Deep Neural Networks
Simultaneous Feature Learning and Hash Coding with Deep Neural Networks
Hanjiang Lai
Yan Pan
Ye Liu
Shuicheng Yan
188
841
0
14 Apr 2015
Improving Object Detection with Deep Convolutional Networks via Bayesian
  Optimization and Structured Prediction
Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction
Xicheng Zhang
Kihyuk Sohn
Ruben Villegas
Gang Pan
Honglak Lee
ObjD
166
219
0
13 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
CVBM3DV
143
327
0
09 Apr 2015
Evaluating Two-Stream CNN for Video Classification
Evaluating Two-Stream CNN for Video ClassificationInternational Conference on Multimedia Retrieval (ICMR), 2015
Hao Ye
Zuxuan Wu
Rui Zhao
Xi Wang
Yu-Gang Jiang
Xiangyang Xue
125
121
0
08 Apr 2015
An Empirical Evaluation of Deep Learning on Highway Driving
An Empirical Evaluation of Deep Learning on Highway Driving
Brody Huval
Tao Wang
S. Tandon
Jeff Kiske
W. Song
...
Toki Migimatsu
Royce Cheng-Yue
Fernando A. Mujica
Adam Coates
A. Ng
331
618
0
07 Apr 2015
Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for
  Video Classification
Modeling Spatial-Temporal Clues in a Hybrid Deep Learning Framework for Video ClassificationACM Multimedia (ACM MM), 2015
Zuxuan Wu
Xi Wang
Yu-Gang Jiang
Hao Ye
Xiangyang Xue
168
458
0
07 Apr 2015
Matching-CNN Meets KNN: Quasi-Parametric Human Parsing
Matching-CNN Meets KNN: Quasi-Parametric Human ParsingComputer Vision and Pattern Recognition (CVPR), 2015
Si Liu
Xiaodan Liang
Luoqi Liu
Xiaohui Shen
Jianchao Yang
Changsheng Xu
Liang Lin
Xiaochun Cao
Shuicheng Yan
3DH
168
168
0
06 Apr 2015
End-to-End Training of Deep Visuomotor Policies
End-to-End Training of Deep Visuomotor PoliciesJournal of machine learning research (JMLR), 2015
Sergey Levine
Chelsea Finn
Trevor Darrell
Pieter Abbeel
BDL
735
3,614
0
02 Apr 2015
A Probabilistic Theory of Deep Learning
A Probabilistic Theory of Deep Learning
Ankit B. Patel
M. T. Nguyen
Richard G. Baraniuk
BDLOODUQCV
203
91
0
02 Apr 2015
Beyond Short Snippets: Deep Networks for Video Classification
Beyond Short Snippets: Deep Networks for Video ClassificationComputer Vision and Pattern Recognition (CVPR), 2015
Joe Yue-Hei Ng
Matthew J. Hausknecht
Sudheendra Vijayanarasimhan
Oriol Vinyals
R. Monga
G. Toderici
432
2,417
0
31 Mar 2015
Boosting Convolutional Features for Robust Object Proposals
Boosting Convolutional Features for Robust Object Proposals
Nikolaos Karianakis
Thomas J. Fuchs
Stefano Soatto
OODObjD
165
30
0
21 Mar 2015
Exploiting Image-trained CNN Architectures for Unconstrained Video
  Classification
Exploiting Image-trained CNN Architectures for Unconstrained Video Classification
Shengxin Cindy Zha
F. Luisier
Walter Andrews
Nitish Srivastava
Ruslan Salakhutdinov
223
206
0
13 Mar 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering
FaceNet: A Unified Embedding for Face Recognition and Clustering
Florian Schroff
Dmitry Kalenichenko
James Philbin
3DH
912
14,175
0
12 Mar 2015
Training Binary Multilayer Neural Networks for Image Classification
  using Expectation Backpropagation
Training Binary Multilayer Neural Networks for Image Classification using Expectation Backpropagation
Zhiyong Cheng
Daniel Soudry
Zexi Mao
Zhenzhong Lan
MQ
170
52
0
12 Mar 2015
Deep Clustered Convolutional Kernels
Deep Clustered Convolutional Kernels
Minyoung Kim
Luca Rigazio
157
18
0
06 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
170
73
0
05 Mar 2015
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks
  for Semantic Segmentation
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation
Jifeng Dai
Kaiming He
Jian Sun
475
1,087
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
274
160
0
05 Mar 2015
Probabilistic Label Relation Graphs with Ising Models
Probabilistic Label Relation Graphs with Ising Models
Nan Ding
Gaowen Liu
Kevin Patrick Murphy
Hartmut Neven
163
31
0
04 Mar 2015
Describing Videos by Exploiting Temporal Structure
Describing Videos by Exploiting Temporal Structure
Weitong Chen
Atousa Torabi
Dong Wang
Nicolas Ballas
C. Pal
Hugo Larochelle
Aaron Courville
438
1,092
0
27 Feb 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
375
1,245
0
26 Feb 2015
Exploiting Feature and Class Relationships in Video Categorization with
  Regularized Deep Neural Networks
Exploiting Feature and Class Relationships in Video Categorization with Regularized Deep Neural Networks
Yu-Gang Jiang
Zuxuan Wu
Jun Wang
Xiangyang Xue
Shih-Fu Chang
223
380
0
25 Feb 2015
Data-Driven Shape Analysis and Processing
Data-Driven Shape Analysis and Processing
Kai Xu
Vladimir G. Kim
Qi-Xing Huang
E. Kalogerakis
180
135
0
24 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
108
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
134
160
0
15 Feb 2015
An exploration of parameter redundancy in deep networks with circulant
  projections
An exploration of parameter redundancy in deep networks with circulant projections
Yu Cheng
Felix X. Yu
Rogerio Feris
Sanjiv Kumar
A. Choudhary
Shih-Fu Chang
130
49
0
11 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
1.4K
45,561
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
Dong Wang
Aaron Courville
Ruslan Salakhutdinov
R. Zemel
Yoshua Bengio
DiffM
805
10,548
0
10 Feb 2015
Multi-view Face Detection Using Deep Convolutional Neural Networks
Multi-view Face Detection Using Deep Convolutional Neural Networks
S. Farfade
M. Saberian
Li Li
CVBM
253
584
0
10 Feb 2015
Generative Moment Matching Networks
Generative Moment Matching Networks
Yujia Li
Kevin Swersky
R. Zemel
OODGAN
387
888
0
10 Feb 2015
Massively Multitask Networks for Drug Discovery
Massively Multitask Networks for Drug Discovery
Bharath Ramsundar
S. Kearnes
Patrick F. Riley
D. Webster
D. Konerding
Vijay S. Pande
184
492
0
06 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
1.1K
19,802
0
06 Feb 2015
DeepID3: Face Recognition with Very Deep Neural Networks
DeepID3: Face Recognition with Very Deep Neural Networks
Yi Sun
Ding Liang
Xiaogang Wang
Xiaoou Tang
CVBM
292
967
0
03 Feb 2015
Taking a Deeper Look at Pedestrians
Taking a Deeper Look at Pedestrians
J. Hosang
Mohamed Omran
Rodrigo Benenson
Bernt Schiele
186
352
0
23 Jan 2015
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