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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 / 4,950 papers shown
Title
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
809
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
25
333
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
16
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
13
170
0
19 Nov 2015
Mediated Experts for Deep Convolutional Networks
Mediated Experts for Deep Convolutional Networks
Aykut Erdem
Winston H. Hsu
13
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
19
460
0
19 Nov 2015
SparkNet: Training Deep Networks in Spark
SparkNet: Training Deep Networks in Spark
Philipp Moritz
Robert Nishihara
Ion Stoica
Michael I. Jordan
20
169
0
19 Nov 2015
Image Question Answering using Convolutional Neural Network with Dynamic
  Parameter Prediction
Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction
Hyeonwoo Noh
Paul Hongsuck Seo
Bohyung Han
OOD
24
327
0
18 Nov 2015
Compositional Memory for Visual Question Answering
Compositional Memory for Visual Question Answering
Aiwen Jiang
Fang Wang
Fatih Porikli
Yi Li
CoGe
14
42
0
18 Nov 2015
Learning Structured Inference Neural Networks with Label Relations
Learning Structured Inference Neural Networks with Label Relations
Hexiang Hu
Guang-Tong Zhou
Zhiwei Deng
Zicheng Liao
Greg Mori
NAI
BDL
41
126
0
17 Nov 2015
On the interplay of network structure and gradient convergence in deep
  learning
On the interplay of network structure and gradient convergence in deep learning
V. Ithapu
Sathya Ravi
Vikas Singh
23
3
0
17 Nov 2015
Reduced-Precision Strategies for Bounded Memory in Deep Neural Nets
Reduced-Precision Strategies for Bounded Memory in Deep Neural Nets
Patrick Judd
Jorge Albericio
Tayler H. Hetherington
Tor M. Aamodt
Natalie D. Enright Jerger
R. Urtasun
Andreas Moshovos
24
100
0
17 Nov 2015
Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for
  Visual Question Answering
Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering
Huijuan Xu
Kate Saenko
27
760
0
17 Nov 2015
Adversarial Manipulation of Deep Representations
Adversarial Manipulation of Deep Representations
S. Sabour
Yanshuai Cao
Fartash Faghri
David J. Fleet
GAN
AAML
28
286
0
16 Nov 2015
Sherlock: Scalable Fact Learning in Images
Sherlock: Scalable Fact Learning in Images
Mohamed Elhoseiny
Scott D. Cohen
W. Chang
Brian L. Price
Ahmed Elgammal
19
26
0
16 Nov 2015
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
14
4,851
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
28
49
0
14 Nov 2015
Action Recognition using Visual Attention
Action Recognition using Visual Attention
Shikhar Sharma
Ryan Kiros
Ruslan Salakhutdinov
24
666
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
11
849
0
12 Nov 2015
Representational Distance Learning for Deep Neural Networks
Representational Distance Learning for Deep Neural Networks
Patrick McClure
N. Kriegeskorte
22
48
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
29
88
0
12 Nov 2015
Universum Prescription: Regularization using Unlabeled Data
Universum Prescription: Regularization using Unlabeled Data
Xiang Zhang
Yann LeCun
19
31
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
54
1,316
0
10 Nov 2015
Traffic Sign Classification Using Deep Inception Based Convolutional
  Networks
Traffic Sign Classification Using Deep Inception Based Convolutional Networks
Mrinal Haloi
14
42
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
39
257
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
16
11
0
08 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
446
15,645
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
21
302
0
31 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
27
12
0
16 Oct 2015
Wide-Area Image Geolocalization with Aerial Reference Imagery
Wide-Area Image Geolocalization with Aerial Reference Imagery
Scott Workman
Richard Souvenir
Nathan Jacobs
30
321
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
30
193
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
32
305
0
12 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
19
23
0
09 Oct 2015
Distilling Model Knowledge
Distilling Model Knowledge
George Papamakarios
BDL
29
17
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
21
82
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
21
121
0
06 Oct 2015
SentiCap: Generating Image Descriptions with Sentiments
SentiCap: Generating Image Descriptions with Sentiments
A. Mathews
Lexing Xie
Xuming He
26
221
0
06 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
9
532
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
45
8,732
0
01 Oct 2015
Feature Evaluation of Deep Convolutional Neural Networks for Object
  Recognition and Detection
Feature Evaluation of Deep Convolutional Neural Networks for Object Recognition and Detection
Hirokatsu Kataoka
K. Iwata
Y. Satoh
ObjD
33
19
0
25 Sep 2015
Evaluating the visualization of what a Deep Neural Network has learned
Evaluating the visualization of what a Deep Neural Network has learned
Wojciech Samek
Alexander Binder
G. Montavon
Sebastian Lapuschkin
K. Müller
XAI
74
1,180
0
21 Sep 2015
Deep Convolutional Features for Image Based Retrieval and Scene
  Categorization
Deep Convolutional Features for Image Based Retrieval and Scene Categorization
Arsalan Mousavian
Jana Kosecka
17
38
0
20 Sep 2015
On the Expressive Power of Deep Learning: A Tensor Analysis
On the Expressive Power of Deep Learning: A Tensor Analysis
Nadav Cohen
Or Sharir
Amnon Shashua
24
468
0
16 Sep 2015
Guiding Long-Short Term Memory for Image Caption Generation
Guiding Long-Short Term Memory for Image Caption Generation
Xu Jia
E. Gavves
Basura Fernando
Tinne Tuytelaars
VLM
22
101
0
16 Sep 2015
DenseBox: Unifying Landmark Localization with End to End Object
  Detection
DenseBox: Unifying Landmark Localization with End to End Object Detection
Lichao Huang
Yi Yang
Yafeng Deng
Yinan Yu
ObjD
22
461
0
16 Sep 2015
Learning Contextual Dependencies with Convolutional Hierarchical
  Recurrent Neural Networks
Learning Contextual Dependencies with Convolutional Hierarchical Recurrent Neural Networks
Zhen Zuo
Bing Shuai
G. Wang
Xiao Liu
Xingxing Wang
Bernie Wang
16
93
0
13 Sep 2015
Proposal-free Network for Instance-level Object Segmentation
Proposal-free Network for Instance-level Object Segmentation
Xiaodan Liang
Yunchao Wei
Xiaohui Shen
Jianchao Yang
Liang Lin
Shuicheng Yan
SSeg
23
233
0
09 Sep 2015
Semantic Amodal Segmentation
Semantic Amodal Segmentation
Yan Zhu
Yuandong Tian
Dimitris N. Metaxas
Piotr Dollár
VLM
28
170
0
04 Sep 2015
Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object
  Recognition
Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition
Saeed Reza Kheradpisheh
M. Ghodrati
M. Ganjtabesh
T. Masquelier
33
175
0
17 Aug 2015
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