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Going Deeper with Convolutions

Going Deeper with Convolutions

17 September 2014
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
ArXivPDFHTML

Papers citing "Going Deeper with Convolutions"

50 / 5,271 papers shown
Title
Exploiting Cyclic Symmetry in Convolutional Neural Networks
Exploiting Cyclic Symmetry in Convolutional Neural Networks
Sander Dieleman
J. Fauw
Koray Kavukcuoglu
20
364
0
08 Feb 2016
Binarized Neural Networks
Itay Hubara
Daniel Soudry
Ran El-Yaniv
MQ
58
1,350
0
08 Feb 2016
Recognition of Visually Perceived Compositional Human Actions by
  Multiple Spatio-Temporal Scales Recurrent Neural Networks
Recognition of Visually Perceived Compositional Human Actions by Multiple Spatio-Temporal Scales Recurrent Neural Networks
Haanvid Lee
Minju Jung
Jun Tani
17
20
0
05 Feb 2016
Leveraging Mid-Level Deep Representations For Predicting Face Attributes
  in the Wild
Leveraging Mid-Level Deep Representations For Predicting Face Attributes in the Wild
Yang Zhong
Josephine Sullivan
Haibo Li
3DH
CVBM
14
43
0
04 Feb 2016
Towards Better Exploiting Convolutional Neural Networks for Remote
  Sensing Scene Classification
Towards Better Exploiting Convolutional Neural Networks for Remote Sensing Scene Classification
Keiller Nogueira
O. A. B. Penatti
J. A. dos Santos
11
829
0
04 Feb 2016
Learning scale-variant and scale-invariant features for deep image
  classification
Learning scale-variant and scale-invariant features for deep image classification
Nanne van Noord
E. Postma
SSL
11
157
0
03 Feb 2016
Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain
  Adaptation
Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain Adaptation
Guosen Xie
Xu-Yao Zhang
Shuicheng Yan
Cheng-Lin Liu
ObjD
10
149
0
29 Jan 2016
DehazeNet: An End-to-End System for Single Image Haze Removal
DehazeNet: An End-to-End System for Single Image Haze Removal
Bolun Cai
Xiangmin Xu
Kui Jia
Chunmei Qing
Dacheng Tao
119
2,402
0
28 Jan 2016
Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI
  and Ultrasound
Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI and Ultrasound
Fausto Milletari
Seyed-Ahmad Ahmadi
Christine Kroll
A. Plate
Verena E. Rozanski
...
J. Levin
O. Dietrich
B. Ertl-Wagner
K. Boetzel
Nassir Navab
200
363
0
26 Jan 2016
Very Efficient Training of Convolutional Neural Networks using Fast
  Fourier Transform and Overlap-and-Add
Very Efficient Training of Convolutional Neural Networks using Fast Fourier Transform and Overlap-and-Add
Tyler Highlander
Andres Rodriguez
18
59
0
25 Jan 2016
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
Suraj Srinivas
Ravi Kiran Sarvadevabhatla
Konda Reddy Mopuri
N. Prabhu
S. Kruthiventi
R. Venkatesh Babu
OOD
35
215
0
25 Jan 2016
Using Filter Banks in Convolutional Neural Networks for Texture
  Classification
Using Filter Banks in Convolutional Neural Networks for Texture Classification
Vincent Andrearczyk
P. Whelan
3DV
14
250
0
12 Jan 2016
Exploiting Local Structures with the Kronecker Layer in Convolutional
  Networks
Exploiting Local Structures with the Kronecker Layer in Convolutional Networks
Shuchang Zhou
Jia-Nan Wu
Yuxin Wu
Xinyu Zhou
27
40
0
31 Dec 2015
Adaptive Object Detection Using Adjacency and Zoom Prediction
Adaptive Object Detection Using Adjacency and Zoom Prediction
Y. Lu
T. Javidi
Svetlana Lazebnik
ObjD
34
75
0
24 Dec 2015
A Deep Generative Deconvolutional Image Model
A Deep Generative Deconvolutional Image Model
Yunchen Pu
Xin Yuan
Andrew Stevens
Chunyuan Li
Lawrence Carin
BDL
VLM
18
44
0
23 Dec 2015
Multi-Instance Visual-Semantic Embedding
Multi-Instance Visual-Semantic Embedding
Zhou Ren
Hailin Jin
Zhe-nan Lin
Chen Fang
Alan Yuille
VLM
11
38
0
22 Dec 2015
Large Scale Business Discovery from Street Level Imagery
Large Scale Business Discovery from Street Level Imagery
Qian Yu
Christian Szegedy
Martin C. Stumpe
L. Yatziv
Vinay D. Shet
Julian Ibarz
Sacha Arnoud
ObjD
11
14
0
17 Dec 2015
Fine-grained Categorization and Dataset Bootstrapping using Deep Metric
  Learning with Humans in the Loop
Fine-grained Categorization and Dataset Bootstrapping using Deep Metric Learning with Humans in the Loop
Huayu Chen
Feng Zhou
Yuanqing Lin
Serge J. Belongie
20
236
0
16 Dec 2015
Action Recognition with Image Based CNN Features
Action Recognition with Image Based CNN Features
Mahdyar Ravanbakhsh
Hossein Mousavi
Mohammad Rastegari
Vittorio Murino
L. Davis
28
63
0
13 Dec 2015
Efficient Deep Feature Learning and Extraction via StochasticNets
Efficient Deep Feature Learning and Extraction via StochasticNets
M. Shafiee
P. Siva
Paul Fieguth
A. Wong
31
2
0
11 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
249
191,549
0
10 Dec 2015
Embedding Label Structures for Fine-Grained Feature Representation
Embedding Label Structures for Fine-Grained Feature Representation
Zherong Zhang
Chunyu Lin
Yuanqing Lin
Yao Zhao
11
195
0
09 Dec 2015
Fine-grained Image Classification by Exploring Bipartite-Graph Labels
Fine-grained Image Classification by Exploring Bipartite-Graph Labels
Feng Zhou
Yuanqing Lin
25
130
0
08 Dec 2015
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
Dario Amodei
Rishita Anubhai
Eric Battenberg
Carl Case
Jared Casper
...
Chong-Jun Wang
Bo Xiao
Dani Yogatama
J. Zhan
Zhenyao Zhu
54
2,955
0
08 Dec 2015
Simple Baseline for Visual Question Answering
Simple Baseline for Visual Question Answering
Bolei Zhou
Yuandong Tian
Sainbayar Sukhbaatar
Arthur Szlam
Rob Fergus
FAtt
27
323
0
07 Dec 2015
Sparsifying Neural Network Connections for Face Recognition
Sparsifying Neural Network Connections for Face Recognition
Yi Sun
Xiaogang Wang
Xiaoou Tang
3DH
CVBM
29
141
0
07 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
89
27,099
0
02 Dec 2015
Analyzing Classifiers: Fisher Vectors and Deep Neural Networks
Analyzing Classifiers: Fisher Vectors and Deep Neural Networks
Sebastian Bach
Alexander Binder
G. Montavon
K. Müller
Wojciech Samek
35
198
0
01 Dec 2015
On Learning to Think: Algorithmic Information Theory for Novel
  Combinations of Reinforcement Learning Controllers and Recurrent Neural World
  Models
On Learning to Think: Algorithmic Information Theory for Novel Combinations of Reinforcement Learning Controllers and Recurrent Neural World Models
Jürgen Schmidhuber
29
101
0
30 Nov 2015
Applying deep learning to classify pornographic images and videos
Applying deep learning to classify pornographic images and videos
Mohamed Moustafa
17
91
0
28 Nov 2015
Natural Language Understanding with Distributed Representation
Natural Language Understanding with Distributed Representation
Kyunghyun Cho
GNN
BDL
21
55
0
24 Nov 2015
Dynamic Capacity Networks
Dynamic Capacity Networks
Amjad Almahairi
Nicolas Ballas
Tim Cooijmans
Yin Zheng
Hugo Larochelle
Aaron Courville
30
96
0
24 Nov 2015
LocNet: Improving Localization Accuracy for Object Detection
LocNet: Improving Localization Accuracy for Object Detection
Spyros Gidaris
N. Komodakis
ObjD
28
140
0
24 Nov 2015
DenseCap: Fully Convolutional Localization Networks for Dense Captioning
DenseCap: Fully Convolutional Localization Networks for Dense Captioning
Justin Johnson
A. Karpathy
Li Fei-Fei
VLM
74
1,159
0
24 Nov 2015
Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation
Recombinator Networks: Learning Coarse-to-Fine Feature Aggregation
S. Honari
J. Yosinski
Pascal Vincent
C. Pal
30
121
0
23 Nov 2015
NetVLAD: CNN architecture for weakly supervised place recognition
NetVLAD: CNN architecture for weakly supervised place recognition
Relja Arandjelović
Petr Gronát
Akihiko Torii
Tomas Pajdla
Josef Sivic
3DV
SSL
82
2,611
0
23 Nov 2015
ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
ReSeg: A Recurrent Neural Network-based Model for Semantic Segmentation
Francesco Visin
Marco Ciccone
Adriana Romero
Kyle Kastner
Kyunghyun Cho
Yoshua Bengio
Matteo Matteucci
Aaron Courville
VLM
SSeg
19
251
0
22 Nov 2015
Data-dependent Initializations of Convolutional Neural Networks
Data-dependent Initializations of Convolutional Neural Networks
Philipp Krahenbuhl
Carl Doersch
Jeff Donahue
Trevor Darrell
VLM
47
202
0
21 Nov 2015
Superpixel Convolutional Networks using Bilateral Inceptions
Superpixel Convolutional Networks using Bilateral Inceptions
Raghudeep Gadde
Varun Jampani
Martin Kiefel
Daniel Kappler
Peter V. Gehler
SSeg
SupR
24
129
0
20 Nov 2015
Compression of Deep Convolutional Neural Networks for Fast and Low Power
  Mobile Applications
Compression of Deep Convolutional Neural Networks for Fast and Low Power Mobile Applications
Yong-Deok Kim
Eunhyeok Park
S. Yoo
Taelim Choi
Lu Yang
Dongjun Shin
23
892
0
20 Nov 2015
On the energy landscape of deep networks
On the energy landscape of deep networks
Pratik Chaudhari
Stefano Soatto
ODL
40
27
0
20 Nov 2015
Delving Deeper into Convolutional Networks for Learning Video
  Representations
Delving Deeper into Convolutional Networks for Learning Video Representations
Nicolas Ballas
L. Yao
C. Pal
Aaron Courville
MDE
37
692
0
19 Nov 2015
All you need is a good init
All you need is a good init
Dmytro Mishkin
Jirí Matas
ODL
27
604
0
19 Nov 2015
Fixed Point Quantization of Deep Convolutional Networks
Fixed Point Quantization of Deep Convolutional Networks
D. Lin
S. Talathi
V. Annapureddy
MQ
44
810
0
19 Nov 2015
How much data is needed to train a medical image deep learning system to
  achieve necessary high accuracy?
How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?
Junghwan Cho
Kyewook Lee
Ellie Shin
G. Choy
Synho Do
33
334
0
19 Nov 2015
Why M Heads are Better than One: Training a Diverse Ensemble of Deep
  Networks
Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks
Stefan Lee
Senthil Purushwalkam
Michael Cogswell
David J. Crandall
Dhruv Batra
FedML
UQCV
22
309
0
19 Nov 2015
Foveation-based Mechanisms Alleviate Adversarial Examples
Foveation-based Mechanisms Alleviate Adversarial Examples
Yan Luo
Xavier Boix
Gemma Roig
T. Poggio
Qi Zhao
AAML
21
170
0
19 Nov 2015
Convolutional Clustering for Unsupervised Learning
Convolutional Clustering for Unsupervised Learning
Aysegül Dündar
Jonghoon Jin
Eugenio Culurciello
SSL
9
84
0
19 Nov 2015
Mediated Experts for Deep Convolutional Networks
Mediated Experts for Deep Convolutional Networks
Aykut Erdem
Winston H. Hsu
18
20
0
19 Nov 2015
Convolutional neural networks with low-rank regularization
Convolutional neural networks with low-rank regularization
Cheng Tai
Tong Xiao
Yi Zhang
Xiaogang Wang
E. Weinan
BDL
31
460
0
19 Nov 2015
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