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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 / 9,262 papers shown
Title
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
Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues
Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues
Ning Zhang
Manohar Paluri
Yaniv Taigman
Rob Fergus
Lubomir D. Bourdev
CVBM
215
160
0
23 Jan 2015
Deep Image: Scaling up Image Recognition
Ren Wu
Shengen Yan
Yi Shan
Qingqing Dang
Gang Sun
VLM
393
382
0
13 Jan 2015
Salient Object Detection: A Benchmark
Salient Object Detection: A Benchmark
Ali Borji
Ming-Ming Cheng
Huaizu Jiang
Jia Li
373
1,797
0
05 Jan 2015
Difference Target Propagation
Difference Target Propagation
Dong-Hyun Lee
Saizheng Zhang
Asja Fischer
Yoshua Bengio
AAML
437
381
0
23 Dec 2014
Deep Fried Convnets
Deep Fried ConvnetsIEEE International Conference on Computer Vision (ICCV), 2014
Zichao Yang
Marcin Moczulski
Misha Denil
Nando de Freitas
Alex Smola
Le Song
Ziyu Wang
360
270
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 CRFsInternational Conference on Learning Representations (ICLR), 2014
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
648
5,141
0
22 Dec 2014
Attention for Fine-Grained Categorization
Attention for Fine-Grained CategorizationInternational Conference on Learning Representations (ICLR), 2014
P. Sermanet
Andrea Frome
Esteban Real
253
159
0
22 Dec 2014
Generative Class-conditional Autoencoders
Generative Class-conditional Autoencoders
Jan Rudy
Graham W. Taylor
DRL
199
7
0
22 Dec 2014
Striving for Simplicity: The All Convolutional Net
Striving for Simplicity: The All Convolutional NetInternational Conference on Learning Representations (ICLR), 2014
Jost Tobias Springenberg
Alexey Dosovitskiy
Thomas Brox
Martin Riedmiller
FAtt
989
4,893
0
21 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
229
53
0
20 Dec 2014
Deep metric learning using Triplet network
Deep metric learning using Triplet networkInternational Workshop on Similarity-Based Pattern Recognition (SBPR), 2014
Elad Hoffer
Nir Ailon
SSLDML
545
2,124
0
20 Dec 2014
Training Deep Neural Networks on Noisy Labels with Bootstrapping
Training Deep Neural Networks on Noisy Labels with BootstrappingInternational Conference on Learning Representations (ICLR), 2014
Scott E. Reed
Honglak Lee
Dragomir Anguelov
Christian Szegedy
D. Erhan
Andrew Rabinovich
NoLa
444
1,063
0
20 Dec 2014
Discovering Hidden Factors of Variation in Deep Networks
Discovering Hidden Factors of Variation in Deep NetworksInternational Conference on Learning Representations (ICLR), 2014
Brian Cheung
J. Livezey
Arjun K. Bansal
Bruno A. Olshausen
DRL
303
196
0
20 Dec 2014
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial ExamplesInternational Conference on Learning Representations (ICLR), 2014
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAMLGAN
1.4K
20,881
0
20 Dec 2014
Move Evaluation in Go Using Deep Convolutional Neural Networks
Move Evaluation in Go Using Deep Convolutional Neural NetworksInternational Conference on Learning Representations (ICLR), 2014
Chris J. Maddison
Aja Huang
Ilya Sutskever
David Silver
FAtt
191
135
0
20 Dec 2014
Self-informed neural network structure learning
Self-informed neural network structure learningInternational Conference on Learning Representations (ICLR), 2014
David Warde-Farley
Andrew Rabinovich
Dragomir Anguelov
SSL
162
18
0
20 Dec 2014
FitNets: Hints for Thin Deep Nets
FitNets: Hints for Thin Deep NetsInternational Conference on Learning Representations (ICLR), 2014
Adriana Romero
Nicolas Ballas
Samira Ebrahimi Kahou
Antoine Chassang
C. Gatta
Yoshua Bengio
FedML
1.2K
4,332
0
19 Dec 2014
Purine: A bi-graph based deep learning framework
Purine: A bi-graph based deep learning frameworkInternational Conference on Learning Representations (ICLR), 2014
Min Lin
Shuo Li
Xuan Luo
Shuicheng Yan
GNN
326
8
0
19 Dec 2014
Compressing Deep Convolutional Networks using Vector Quantization
Compressing Deep Convolutional Networks using Vector Quantization
Yunchao Gong
Liu Liu
Ming Yang
Lubomir D. Bourdev
MQ
320
1,203
0
18 Dec 2014
Fractional Max-Pooling
Fractional Max-Pooling
Benjamin Graham
TPM
302
526
0
18 Dec 2014
DeepID-Net: Deformable Deep Convolutional Neural Networks for Object
  Detection
DeepID-Net: Deformable Deep Convolutional Neural Networks for Object DetectionComputer Vision and Pattern Recognition (CVPR), 2014
Wanli Ouyang
Xiaogang Wang
Xingyu Zeng
Shi Qiu
Ping Luo
...
Jiaming Song
Shuo Yang
Zhe Wang
Chen Change Loy
Xiaoou Tang
ObjD
202
447
0
17 Dec 2014
Deep Speech: Scaling up end-to-end speech recognition
Deep Speech: Scaling up end-to-end speech recognition
Awni Y. Hannun
Carl Case
Jared Casper
Bryan Catanzaro
G. Diamos
...
R. Prenger
S. Satheesh
Shubho Sengupta
Adam Coates
A. Ng
486
2,199
0
17 Dec 2014
Flattened Convolutional Neural Networks for Feedforward Acceleration
Flattened Convolutional Neural Networks for Feedforward AccelerationInternational Conference on Learning Representations (ICLR), 2014
Jonghoon Jin
Aysegül Dündar
Eugenio Culurciello
362
256
0
17 Dec 2014
Towards Deep Neural Network Architectures Robust to Adversarial Examples
Towards Deep Neural Network Architectures Robust to Adversarial ExamplesInternational Conference on Learning Representations (ICLR), 2014
S. Gu
Luca Rigazio
AAML
285
877
0
11 Dec 2014
Deep Visual-Semantic Alignments for Generating Image Descriptions
Deep Visual-Semantic Alignments for Generating Image DescriptionsComputer Vision and Pattern Recognition (CVPR), 2014
A. Karpathy
Li Fei-Fei
510
5,850
0
07 Dec 2014
Deep Neural Networks are Easily Fooled: High Confidence Predictions for
  Unrecognizable Images
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable ImagesComputer Vision and Pattern Recognition (CVPR), 2014
Anh Totti Nguyen
J. Yosinski
Jeff Clune
AAML
694
3,413
0
05 Dec 2014
Convolutional Neural Networks at Constrained Time Cost
Convolutional Neural Networks at Constrained Time CostComputer Vision and Pattern Recognition (CVPR), 2014
Kaiming He
Jian Sun
3DV
217
1,346
0
04 Dec 2014
Memory Bounded Deep Convolutional Networks
Memory Bounded Deep Convolutional Networks
Maxwell D. Collins
Pushmeet Kohli
219
173
0
03 Dec 2014
Scalable, High-Quality Object Detection
Scalable, High-Quality Object Detection
Christian Szegedy
Scott E. Reed
D. Erhan
Dragomir Anguelov
Sergey Ioffe
ObjD
298
379
0
03 Dec 2014
Material Recognition in the Wild with the Materials in Context Database
Material Recognition in the Wild with the Materials in Context DatabaseComputer Vision and Pattern Recognition (CVPR), 2014
Sean Bell
P. Upchurch
Noah Snavely
Kavita Bala
369
550
0
01 Dec 2014
Effective Use of Word Order for Text Categorization with Convolutional
  Neural Networks
Effective Use of Word Order for Text Categorization with Convolutional Neural NetworksNorth American Chapter of the Association for Computational Linguistics (NAACL), 2014
Rie Johnson
Tong Zhang
240
899
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
155
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
331
2,124
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
214
102
0
26 Nov 2014
Scale-Invariant Convolutional Neural Networks
Scale-Invariant Convolutional Neural Networks
Yichong Xu
Tianjun Xiao
Jiaxing Zhang
Kuiyuan Yang
Zheng Zhang
188
145
0
24 Nov 2014
From Image-level to Pixel-level Labeling with Convolutional Networks
From Image-level to Pixel-level Labeling with Convolutional Networks
Pedro H. O. Pinheiro
R. Collobert
SSegVLM
243
53
0
23 Nov 2014
Understanding image representations by measuring their equivariance and
  equivalence
Understanding image representations by measuring their equivariance and equivalenceInternational Journal of Computer Vision (IJCV), 2014
Karel Lenc
Andrea Vedaldi
SSLFAtt
364
572
0
21 Nov 2014
Salient Object Detection: A Survey
Salient Object Detection: A SurveyComputational Visual Media (CVM), 2014
Ali Borji
Ming-Ming Cheng
Qibin Hou
Huaizu Jiang
Jia Li
434
800
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 ArchitectureIEEE International Conference on Computer Vision (ICCV), 2014
David Eigen
Rob Fergus
VLMMDE
510
2,778
0
18 Nov 2014
Show and Tell: A Neural Image Caption Generator
Show and Tell: A Neural Image Caption GeneratorComputer Vision and Pattern Recognition (CVPR), 2014
Oriol Vinyals
Alexander Toshev
Samy Bengio
D. Erhan
3DV
584
6,349
0
17 Nov 2014
Fully Convolutional Neural Networks for Crowd Segmentation
Fully Convolutional Neural Networks for Crowd Segmentation
Kai Kang
Xiaogang Wang
SSeg
140
134
0
17 Nov 2014
Long-term Recurrent Convolutional Networks for Visual Recognition and
  Description
Long-term Recurrent Convolutional Networks for Visual Recognition and DescriptionComputer Vision and Pattern Recognition (CVPR), 2014
Jeff Donahue
Lisa Anne Hendricks
Marcus Rohrbach
Subhashini Venugopalan
S. Guadarrama
Kate Saenko
Trevor Darrell
VLM
635
6,258
0
17 Nov 2014
Efficient and Accurate Approximations of Nonlinear Convolutional
  Networks
Efficient and Accurate Approximations of Nonlinear Convolutional NetworksComputer Vision and Pattern Recognition (CVPR), 2014
Xinming Zhang
Jianhua Zou
Xiang Ming
Kaiming He
Jian Sun
3DV
199
269
0
16 Nov 2014
How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets
How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets
Zhiyun Lu
Avner May
Kuan Liu
A. Garakani
Dong Guo
...
Linxi Fan
Michael Collins
Brian Kingsbury
M. Picheny
Fei Sha
BDL
340
66
0
14 Nov 2014
Computational Baby Learning
Computational Baby Learning
Xiaodan Liang
Si Liu
Yunchao Wei
Luoqi Liu
Liang Lin
Shuicheng Yan
SSL
208
26
0
11 Nov 2014
Conditional Generative Adversarial Nets
Conditional Generative Adversarial Nets
M. Berk Mirza
Simon Osindero
GANSyDaAI4CE
909
11,199
0
06 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 ImageNetInternational Conference on Learning Representations (ICLR), 2014
Matthias Kümmerer
Lucas Theis
Matthias Bethge
FAtt
282
425
0
04 Nov 2014
SimNets: A Generalization of Convolutional Networks
SimNets: A Generalization of Convolutional Networks
Nadav Cohen
Amnon Shashua
3DPC
283
24
0
03 Oct 2014
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