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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
Deep CNN Ensemble with Data Augmentation for Object Detection
Deep CNN Ensemble with Data Augmentation for Object Detection
Jian Guo
Stephen Gould
ObjD
147
62
0
24 Jun 2015
DeepStereo: Learning to Predict New Views from the World's Imagery
DeepStereo: Learning to Predict New Views from the World's Imagery
John Flynn
Ivan Neulander
James Philbin
Noah Snavely
3DV
244
684
0
22 Jun 2015
Aligning Books and Movies: Towards Story-like Visual Explanations by
  Watching Movies and Reading Books
Aligning Books and Movies: Towards Story-like Visual Explanations by Watching Movies and Reading Books
Yukun Zhu
Ryan Kiros
R. Zemel
Ruslan Salakhutdinov
R. Urtasun
Antonio Torralba
Sanja Fidler
513
2,668
0
22 Jun 2015
Learning to Segment Object Candidates
Learning to Segment Object Candidates
Pedro H. O. Pinheiro
R. Collobert
Piotr Dollar
SSeg
260
813
0
20 Jun 2015
A Spatial Layout and Scale Invariant Feature Representation for Indoor
  Scene Classification
A Spatial Layout and Scale Invariant Feature Representation for Indoor Scene ClassificationIEEE Transactions on Image Processing (IEEE TIP), 2015
Munawar Hayat
Salman H. Khan
Bennamoun
Senjian An
152
72
0
18 Jun 2015
On the Depth of Deep Neural Networks: A Theoretical View
On the Depth of Deep Neural Networks: A Theoretical View
Shizhao Sun
Wei-neng Chen
Liwei Wang
Xiaoguang Liu
Tie-Yan Liu
197
21
0
17 Jun 2015
End-to-end people detection in crowded scenes
End-to-end people detection in crowded scenesComputer Vision and Pattern Recognition (CVPR), 2015
Russell Stewart
Mykhaylo Andriluka
425
571
0
16 Jun 2015
ParseNet: Looking Wider to See Better
ParseNet: Looking Wider to See Better
Wei Liu
Andrew Rabinovich
Alexander C. Berg
SSeg
281
1,250
0
15 Jun 2015
Compressing Convolutional Neural Networks
Compressing Convolutional Neural NetworksKnowledge Discovery and Data Mining (KDD), 2015
Wenlin Chen
James T. Wilson
Stephen Tyree
Kilian Q. Weinberger
Yixin Chen
167
149
0
14 Jun 2015
Deep Structured Models For Group Activity Recognition
Deep Structured Models For Group Activity RecognitionBritish Machine Vision Conference (BMVC), 2015
Zhiwei Deng
Mengyao Zhai
Lei Chen
Yuhao Liu
S. Muralidharan
M. J. Roshtkhari
Greg Mori
BDL
179
99
0
12 Jun 2015
LSUN: Construction of a Large-scale Image Dataset using Deep Learning
  with Humans in the Loop
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
Feng Yu
Ari Seff
Yinda Zhang
Shuran Song
Thomas Funkhouser
Jianxiong Xiao
384
2,519
0
10 Jun 2015
Deep SimNets
Deep SimNetsComputer Vision and Pattern Recognition (CVPR), 2015
Nadav Cohen
Or Sharir
Amnon Shashua
178
46
0
09 Jun 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object DetectionComputer Vision and Pattern Recognition (CVPR), 2015
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
1.4K
42,140
0
08 Jun 2015
Learning both Weights and Connections for Efficient Neural Networks
Learning both Weights and Connections for Efficient Neural NetworksNeural Information Processing Systems (NeurIPS), 2015
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
506
7,267
0
08 Jun 2015
Learning to Select Pre-Trained Deep Representations with Bayesian
  Evidence Framework
Learning to Select Pre-Trained Deep Representations with Bayesian Evidence FrameworkComputer Vision and Pattern Recognition (CVPR), 2015
Yong-Deok Kim
Taewoong Jang
Bohyung Han
Seungjin Choi
BDL
195
15
0
08 Jun 2015
Bayesian Convolutional Neural Networks with Bernoulli Approximate
  Variational Inference
Bayesian Convolutional Neural Networks with Bernoulli Approximate Variational Inference
Y. Gal
Zoubin Ghahramani
UQCVBDL
859
795
0
06 Jun 2015
Spatial Transformer Networks
Spatial Transformer NetworksNeural Information Processing Systems (NeurIPS), 2015
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
1.4K
7,819
0
05 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2015
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMatObjD
1.7K
68,868
0
04 Jun 2015
Cyclical Learning Rates for Training Neural Networks
Cyclical Learning Rates for Training Neural NetworksIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2015
L. Smith
ODL
692
2,781
0
03 Jun 2015
Understanding deep features with computer-generated imagery
Understanding deep features with computer-generated imageryIEEE International Conference on Computer Vision (ICCV), 2015
Mathieu Aubry
Bryan C. Russell
182
151
0
03 Jun 2015
What value do explicit high level concepts have in vision to language
  problems?
What value do explicit high level concepts have in vision to language problems?Computer Vision and Pattern Recognition (CVPR), 2015
Qi Wu
Chunhua Shen
Lingqiao Liu
A. Dick
Anton Van Den Hengel
312
459
0
03 Jun 2015
Unsupervised Learning on Neural Network Outputs: with Application in
  Zero-shot Learning
Unsupervised Learning on Neural Network Outputs: with Application in Zero-shot LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2015
Yao Lu
SSL
430
39
0
02 Jun 2015
Classify Images with Conceptor Network
Yuhuang Hu
S. Advanced
C. K. Loo
151
6
0
02 Jun 2015
Learning to Answer Questions From Image Using Convolutional Neural
  Network
Learning to Answer Questions From Image Using Convolutional Neural NetworkAAAI Conference on Artificial Intelligence (AAAI), 2015
Lin Ma
Zhengdong Lu
Hang Li
229
266
0
01 Jun 2015
Visual Search at Pinterest
Visual Search at PinterestKnowledge Discovery and Data Mining (KDD), 2015
Yushi Jing
David C. Liu
Dmitry Kislyuk
Andrew Zhai
Jiajing Xu
Jeff Donahue
Sarah Tavel
VLM
243
151
0
28 May 2015
PoseNet: A Convolutional Network for Real-Time 6-DOF Camera
  Relocalization
PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization
Alex Kendall
Matthew Koichi Grimes
R. Cipolla
3DV3DPC
178
95
0
27 May 2015
Texture Synthesis Using Convolutional Neural Networks
Texture Synthesis Using Convolutional Neural Networks
Leon A. Gatys
Alexander S. Ecker
Matthias Bethge
3DV
142
132
0
27 May 2015
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust
  Semantic Pixel-Wise Labelling
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise LabellingComputer Vision and Pattern Recognition (CVPR), 2015
Vijay Badrinarayanan
Ankur Handa
R. Cipolla
SSeg
388
822
0
27 May 2015
Accelerating Very Deep Convolutional Networks for Classification and
  Detection
Accelerating Very Deep Convolutional Networks for Classification and DetectionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2015
Xinming Zhang
Jianhua Zou
Kaiming He
Jian Sun
242
828
0
26 May 2015
An Empirical Evaluation of Current Convolutional Architectures' Ability
  to Manage Nuisance Location and Scale Variability
An Empirical Evaluation of Current Convolutional Architectures' Ability to Manage Nuisance Location and Scale VariabilityComputer Vision and Pattern Recognition (CVPR), 2015
Nikolaos Karianakis
Jingming Dong
Stefano Soatto
212
15
0
26 May 2015
Efficient Large Scale Video Classification
Efficient Large Scale Video Classification
Balakrishnan Varadarajan
G. Toderici
Sudheendra Vijayanarasimhan
Apostol Natsev
166
24
0
22 May 2015
A Multi-scale Multiple Instance Video Description Network
A Multi-scale Multiple Instance Video Description Network
Huijuan Xu
Subhashini Venugopalan
Vasili Ramanishka
Marcus Rohrbach
Kate Saenko
242
64
0
21 May 2015
Object-Proposal Evaluation Protocol is 'Gameable'
Object-Proposal Evaluation Protocol is 'Gameable'Computer Vision and Pattern Recognition (CVPR), 2015
Neelima Chavali
Harsh Agrawal
Aroma Mahendru
Dhruv Batra
302
84
0
21 May 2015
Are You Talking to a Machine? Dataset and Methods for Multilingual Image
  Question Answering
Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question AnsweringNeural Information Processing Systems (NeurIPS), 2015
Haoyuan Gao
Junhua Mao
Jie Zhou
Zhiheng Huang
Lei Wang
Wenyuan Xu
283
519
0
21 May 2015
DropSample: A New Training Method to Enhance Deep Convolutional Neural
  Networks for Large-Scale Unconstrained Handwritten Chinese Character
  Recognition
DropSample: A New Training Method to Enhance Deep Convolutional Neural Networks for Large-Scale Unconstrained Handwritten Chinese Character RecognitionPattern Recognition (PR), 2015
Weixin Yang
Lianwen Jin
Dacheng Tao
Zecheng Xie
Ziyong Feng
479
133
0
20 May 2015
Multi-scale recognition with DAG-CNNs
Multi-scale recognition with DAG-CNNsIEEE International Conference on Computer Vision (ICCV), 2015
Songfan Yang
Deva Ramanan
BDL
115
209
0
20 May 2015
High Performance Offline Handwritten Chinese Character Recognition Using
  GoogLeNet and Directional Feature Maps
High Performance Offline Handwritten Chinese Character Recognition Using GoogLeNet and Directional Feature Maps
Zhuoyao Zhong
Lianwen Jin
Zecheng Xie
148
299
0
19 May 2015
Action Recognition with Trajectory-Pooled Deep-Convolutional Descriptors
Action Recognition with Trajectory-Pooled Deep-Convolutional Descriptors
Limin Wang
Yu Qiao
Xiaoou Tang
194
1,187
0
19 May 2015
Learning Deconvolution Network for Semantic Segmentation
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh
Seunghoon Hong
Bohyung Han
SSeg
484
4,302
0
17 May 2015
Improving Image Classification with Location Context
Improving Image Classification with Location Context
K. Tang
Manohar Paluri
Li Fei-Fei
Rob Fergus
Lubomir D. Bourdev
SSL
155
128
0
14 May 2015
APAC: Augmented PAttern Classification with Neural Networks
APAC: Augmented PAttern Classification with Neural Networks
Ikuro Sato
Hiroki Nishimura
Kensuke Yokoi
160
141
0
13 May 2015
Improving Computer-aided Detection using Convolutional Neural Networks
  and Random View Aggregation
Improving Computer-aided Detection using Convolutional Neural Networks and Random View Aggregation
H. Roth
Le Lu
Jiamin Liu
Jianhua Yao
Ari Seff
Kevin M. Cherry
Lauren Kim
Ronald M. Summers
MedIm
255
570
0
12 May 2015
Training Deeper Convolutional Networks with Deep Supervision
Training Deeper Convolutional Networks with Deep Supervision
Liwei Wang
Chen-Yu Lee
Zhuowen Tu
Svetlana Lazebnik
128
211
0
11 May 2015
Deep Learning for Semantic Part Segmentation with High-Level Guidance
Deep Learning for Semantic Part Segmentation with High-Level Guidance
Stavros Tsogkas
Iasonas Kokkinos
George Papandreou
A. Vedaldi
SSeg
257
32
0
10 May 2015
Deep Learning for Medical Image Segmentation
Deep Learning for Medical Image Segmentation
Matthew Lai
MedImSSeg
144
107
0
08 May 2015
Jointly Modeling Embedding and Translation to Bridge Video and Language
Jointly Modeling Embedding and Translation to Bridge Video and Language
Yingwei Pan
Tao Mei
Ting Yao
Houqiang Li
Y. Rui
199
543
0
07 May 2015
Object detection via a multi-region & semantic segmentation-aware CNN
  model
Object detection via a multi-region & semantic segmentation-aware CNN model
Spyros Gidaris
N. Komodakis
ObjDSSeg
290
760
0
07 May 2015
Webly Supervised Learning of Convolutional Networks
Webly Supervised Learning of Convolutional Networks
Xinlei Chen
Abhinav Gupta
SSL
248
389
0
07 May 2015
Deep Learning for Object Saliency Detection and Image Segmentation
Deep Learning for Object Saliency Detection and Image Segmentation
H. Pan
Bo Wang
Hui Jiang
184
20
0
05 May 2015
Ask Your Neurons: A Neural-based Approach to Answering Questions about
  Images
Ask Your Neurons: A Neural-based Approach to Answering Questions about Images
Mateusz Malinowski
Marcus Rohrbach
Mario Fritz
369
628
0
05 May 2015
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