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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 / 5,072 papers shown
Title
Deep Learning for Identifying Metastatic Breast Cancer
Deep Learning for Identifying Metastatic Breast Cancer
Dayong Wang
A. Khosla
Rishab Gargeya
H. Irshad
Andrew H. Beck
MedIm
11
936
0
18 Jun 2016
DeepFood: Deep Learning-Based Food Image Recognition for Computer-Aided
  Dietary Assessment
DeepFood: Deep Learning-Based Food Image Recognition for Computer-Aided Dietary Assessment
Chang Liu
Yu Cao
Yan Luo
Guanling Chen
V. Vokkarane
Yunsheng Ma
8
251
0
17 Jun 2016
Convolutional Residual Memory Networks
Convolutional Residual Memory Networks
Joel Ruben Antony Moniz
C. Pal
28
23
0
16 Jun 2016
Inverting face embeddings with convolutional neural networks
Inverting face embeddings with convolutional neural networks
A. Zhmoginov
Mark Sandler
3DH
CVBM
14
67
0
14 Jun 2016
Universal Correspondence Network
Universal Correspondence Network
Chris Choy
JunYoung Gwak
Silvio Savarese
Manmohan Chandraker
15
367
0
11 Jun 2016
A Comprehensive Analysis of Deep Learning Based Representation for Face
  Recognition
A Comprehensive Analysis of Deep Learning Based Representation for Face Recognition
Mostafa Mehdipour-Ghazi
H. K. Ekenel
CVBM
33
140
0
09 Jun 2016
ENet: A Deep Neural Network Architecture for Real-Time Semantic
  Segmentation
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke
Abhishek Chaurasia
Sangpil Kim
Eugenio Culurciello
SSeg
235
2,056
0
07 Jun 2016
Shallow Networks for High-Accuracy Road Object-Detection
Shallow Networks for High-Accuracy Road Object-Detection
Khalid Ashraf
Bichen Wu
F. Iandola
Matthew W. Moskewicz
Kurt Keutzer
ObjD
32
53
0
05 Jun 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
80
18,038
0
02 Jun 2016
Recurrent Fully Convolutional Networks for Video Segmentation
Recurrent Fully Convolutional Networks for Video Segmentation
Sepehr Valipour
Mennatullah Siam
Martin Jägersand
Nilanjan Ray
VOS
24
89
0
01 Jun 2016
Boda-RTC: Productive Generation of Portable, Efficient Code for
  Convolutional Neural Networks on Mobile Computing Platforms
Boda-RTC: Productive Generation of Portable, Efficient Code for Convolutional Neural Networks on Mobile Computing Platforms
Matthew W. Moskewicz
F. Iandola
Kurt Keutzer
9
8
0
01 Jun 2016
Adversarial Feature Learning
Adversarial Feature Learning
Jiasen Lu
Philipp Krahenbuhl
Trevor Darrell
GAN
53
1,824
0
31 May 2016
Generalized Multi-view Embedding for Visual Recognition and Cross-modal
  Retrieval
Generalized Multi-view Embedding for Visual Recognition and Cross-modal Retrieval
G. Cao
Alexandros Iosifidis
Ke Chen
Moncef Gabbouj
30
89
0
31 May 2016
A Neural Autoregressive Approach to Collaborative Filtering
A Neural Autoregressive Approach to Collaborative Filtering
Yin Zheng
Bangsheng Tang
Wenkui Ding
Hanning Zhou
BDL
21
223
0
31 May 2016
Parametric Exponential Linear Unit for Deep Convolutional Neural
  Networks
Parametric Exponential Linear Unit for Deep Convolutional Neural Networks
Ludovic Trottier
Philippe Giguère
B. Chaib-draa
41
199
0
30 May 2016
The Latin American Giant Observatory: a successful collaboration in
  Latin America based on Cosmic Rays and computer science domains
The Latin American Giant Observatory: a successful collaboration in Latin America based on Cosmic Rays and computer science domains
Hernán Asorey
R. Mayo-García
L. Núñez
M. Pascual
A. J. Rubio-Montero
M. Suárez-Durán
L. A. Torres-Niño
31
5
0
30 May 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Z. Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNN
AI4CE
98
18,262
0
27 May 2016
SNN: Stacked Neural Networks
SNN: Stacked Neural Networks
Milad Mohammadi
Subhasis Das
13
15
0
27 May 2016
cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey
cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurvey
Hirokatsu Kataoka
Yudai Miyashita
Tomoaki K. Yamabe
Soma Shirakabe
Shin-ichi Sato
...
Kaori Abe
Takaaki Imanari
Naomichi Kobayashi
Shinichiro Morita
Akio Nakamura
24
2
0
26 May 2016
Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning
Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning
Soravit Changpinyo
Wei-Lun Chao
Fei Sha
VLM
35
177
0
26 May 2016
Video Summarization with Long Short-term Memory
Video Summarization with Long Short-term Memory
Ke Zhang
Wei-Lun Chao
Fei Sha
Kristen Grauman
38
682
0
26 May 2016
Deep Predictive Coding Networks for Video Prediction and Unsupervised
  Learning
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
William Lotter
Gabriel Kreiman
David D. Cox
SSL
52
927
0
25 May 2016
Review Networks for Caption Generation
Review Networks for Caption Generation
Zhilin Yang
Ye Yuan
Yuexin Wu
Ruslan Salakhutdinov
William W. Cohen
3DV
37
85
0
25 May 2016
An Analysis of Deep Neural Network Models for Practical Applications
An Analysis of Deep Neural Network Models for Practical Applications
A. Canziani
Adam Paszke
Eugenio Culurciello
19
1,164
0
24 May 2016
FractalNet: Ultra-Deep Neural Networks without Residuals
FractalNet: Ultra-Deep Neural Networks without Residuals
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
45
933
0
24 May 2016
DeepText: A Unified Framework for Text Proposal Generation and Text
  Detection in Natural Images
DeepText: A Unified Framework for Text Proposal Generation and Text Detection in Natural Images
Zhuoyao Zhong
Lianwen Jin
Shuye Zhang
Ziyong Feng
ObjD
9
115
0
24 May 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
68
7,907
0
23 May 2016
Bridging Category-level and Instance-level Semantic Image Segmentation
Bridging Category-level and Instance-level Semantic Image Segmentation
Zifeng Wu
Chunhua Shen
Anton Van Den Hengel
ISeg
SSeg
9
161
0
23 May 2016
Inductive Bias of Deep Convolutional Networks through Pooling Geometry
Inductive Bias of Deep Convolutional Networks through Pooling Geometry
Nadav Cohen
Amnon Shashua
22
132
0
22 May 2016
Deep Transfer Learning with Joint Adaptation Networks
Deep Transfer Learning with Joint Adaptation Networks
Mingsheng Long
Hanhua Zhu
Jianmin Wang
Michael I. Jordan
TTA
53
2,434
0
21 May 2016
Swapout: Learning an ensemble of deep architectures
Swapout: Learning an ensemble of deep architectures
Saurabh Singh
Derek Hoiem
David A. Forsyth
BDL
3DPC
OOD
UQCV
21
150
0
20 May 2016
Residual Networks Behave Like Ensembles of Relatively Shallow Networks
Residual Networks Behave Like Ensembles of Relatively Shallow Networks
Andreas Veit
Michael J. Wilber
Serge J. Belongie
UQCV
22
107
0
20 May 2016
Ristretto: Hardware-Oriented Approximation of Convolutional Neural
  Networks
Ristretto: Hardware-Oriented Approximation of Convolutional Neural Networks
Philipp Gysel
29
127
0
20 May 2016
Localizing by Describing: Attribute-Guided Attention Localization for
  Fine-Grained Recognition
Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained Recognition
Xiao-Chang Liu
Jiang Wang
Shilei Wen
Errui Ding
Yuanqing Lin
13
76
0
20 May 2016
Learning Deep Representations of Fine-grained Visual Descriptions
Learning Deep Representations of Fine-grained Visual Descriptions
Scott E. Reed
Zeynep Akata
Bernt Schiele
Honglak Lee
OCL
VLM
176
840
0
17 May 2016
Going Deeper into Action Recognition: A Survey
Going Deeper into Action Recognition: A Survey
Samitha Herath
Mehrtash Harandi
Fatih Porikli
36
610
0
16 May 2016
Ternary Weight Networks
Ternary Weight Networks
Fengfu Li
Bin Liu
Xiaoxing Wang
Bo-Wen Zhang
Junchi Yan
MQ
38
520
0
16 May 2016
Movie Description
Movie Description
Anna Rohrbach
Atousa Torabi
Marcus Rohrbach
Niket Tandon
C. Pal
Hugo Larochelle
Aaron Courville
Bernt Schiele
3DV
VGen
32
353
0
12 May 2016
ASP Vision: Optically Computing the First Layer of Convolutional Neural
  Networks using Angle Sensitive Pixels
ASP Vision: Optically Computing the First Layer of Convolutional Neural Networks using Angle Sensitive Pixels
H. G. Chen
Suren Jayasuriya
Jiyue Yang
J. Stephen
S. Sivaramakrishnan
Ashok Veeraraghavan
A. Molnar
26
66
0
11 May 2016
Deep Neural Networks Under Stress
Deep Neural Networks Under Stress
Micael Carvalho
Matthieu Cord
Sandra Avila
Nicolas Thome
Eduardo Valle
28
14
0
11 May 2016
DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation
  Model
DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model
Eldar Insafutdinov
L. Pishchulin
Bjoern Andres
Mykhaylo Andriluka
Bernt Schiele
3DH
39
1,109
0
10 May 2016
Structured Receptive Fields in CNNs
Structured Receptive Fields in CNNs
J. Jacobsen
Jan van Gemert
Zhongyu Lou
A. Smeulders
11
107
0
10 May 2016
Compact Hash Codes for Efficient Visual Descriptors Retrieval in Large
  Scale Databases
Compact Hash Codes for Efficient Visual Descriptors Retrieval in Large Scale Databases
Simone Ercoli
Marco Bertini
A. Bimbo
26
38
0
10 May 2016
Theano: A Python framework for fast computation of mathematical
  expressions
Theano: A Python framework for fast computation of mathematical expressions
The Theano Development Team
Rami Al-Rfou
Guillaume Alain
Amjad Almahairi
Christof Angermüller
...
Kelvin Xu
Lijun Xue
Li Yao
Saizheng Zhang
Ying Zhang
31
2,335
0
09 May 2016
Unconstrained Still/Video-Based Face Verification with Deep
  Convolutional Neural Networks
Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks
Jun-Cheng Chen
Rajeev Ranjan
Swami Sankaranarayanan
Amit Kumar
Ching-Hui Chen
Vishal M. Patel
Carlos D. Castillo
Rama Chellappa
CVBM
27
97
0
09 May 2016
Deep Motif: Visualizing Genomic Sequence Classifications
Deep Motif: Visualizing Genomic Sequence Classifications
Jack Lanchantin
Ritambhara Singh
Zeming Lin
Yanjun Qi
19
74
0
04 May 2016
Recurrent Convolutional Neural Network Regression for Continuous Pain
  Intensity Estimation in Video
Recurrent Convolutional Neural Network Regression for Continuous Pain Intensity Estimation in Video
Jing Zhou
Xiaopeng Hong
Zhicheng Zhao
Guoying Zhao
15
116
0
03 May 2016
Look-ahead before you leap: end-to-end active recognition by forecasting
  the effect of motion
Look-ahead before you leap: end-to-end active recognition by forecasting the effect of motion
Dinesh Jayaraman
Kristen Grauman
17
90
0
30 Apr 2016
DisturbLabel: Regularizing CNN on the Loss Layer
DisturbLabel: Regularizing CNN on the Loss Layer
Lingxi Xie
Jingdong Wang
Zhen Wei
Meng Wang
Qi Tian
39
250
0
30 Apr 2016
InterActive: Inter-Layer Activeness Propagation
InterActive: Inter-Layer Activeness Propagation
Lingxi Xie
Liang Zheng
Jingdong Wang
Alan Yuille
Qi Tian
FAtt
33
45
0
30 Apr 2016
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