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ImageNet Large Scale Visual Recognition Challenge
v1v2v3 (latest)

ImageNet Large Scale Visual Recognition Challenge

1 September 2014
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
Sean Ma
Zhiheng Huang
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
    VLMObjD
ArXiv (abs)PDFHTML

Papers citing "ImageNet Large Scale Visual Recognition Challenge"

50 / 11,101 papers shown
Title
Active Long Term Memory Networks
Active Long Term Memory Networks
Tommaso Furlanello
Jiaping Zhao
Andrew M. Saxe
Laurent Itti
B. Tjan
KELMCLL
94
42
0
07 Jun 2016
Systematic evaluation of CNN advances on the ImageNet
Systematic evaluation of CNN advances on the ImageNet
Dmytro Mishkin
N. Sergievskiy
Jirí Matas
FAtt
67
124
0
07 Jun 2016
Deep neural networks are robust to weight binarization and other
  non-linear distortions
Deep neural networks are robust to weight binarization and other non-linear distortions
P. Merolla
R. Appuswamy
John V. Arthur
S. K. Esser
D. Modha
OODMQ
107
96
0
07 Jun 2016
Integrated perception with recurrent multi-task neural networks
Integrated perception with recurrent multi-task neural networks
Hakan Bilen
Andrea Vedaldi
ObjD
98
94
0
06 Jun 2016
Incorporating long-range consistency in CNN-based texture generation
Incorporating long-range consistency in CNN-based texture generation
Guillaume Berger
Roland Memisevic
3DV
142
51
0
03 Jun 2016
Adversarially Learned Inference
Adversarially Learned Inference
Vincent Dumoulin
Ishmael Belghazi
Ben Poole
Olivier Mastropietro
Alex Lamb
Martín Arjovsky
Aaron Courville
GAN
296
1,316
0
02 Jun 2016
Ensemble-Compression: A New Method for Parallel Training of Deep Neural
  Networks
Ensemble-Compression: A New Method for Parallel Training of Deep Neural Networks
Shizhao Sun
Wei Chen
Jiang Bian
Xiaoguang Liu
Tie-Yan Liu
FedML
57
29
0
02 Jun 2016
Deeper Depth Prediction with Fully Convolutional Residual Networks
Deeper Depth Prediction with Fully Convolutional Residual Networks
Iro Laina
Christian Rupprecht
Vasileios Belagiannis
Federico Tombari
Nassir Navab
3DVMDE
472
1,836
0
01 Jun 2016
Improving Deep Neural Network with Multiple Parametric Exponential
  Linear Units
Improving Deep Neural Network with Multiple Parametric Exponential Linear Units
Yang Li
Chunxiao Fan
Yong Li
Qiong Wu
Yue Ming
92
83
0
01 Jun 2016
Asynchrony begets Momentum, with an Application to Deep Learning
Asynchrony begets Momentum, with an Application to Deep Learning
Jeff Donahue
Philipp Krahenbuhl
Stefan Hadjis
Christopher Ré
213
143
0
31 May 2016
Determining the Characteristic Vocabulary for a Specialized Dictionary
  using Word2vec and a Directed Crawler
Determining the Characteristic Vocabulary for a Specialized Dictionary using Word2vec and a Directed Crawler
G. Grefenstette
Lawrence Muchemi
47
20
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
118
200
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
135
5
0
30 May 2016
Density estimation using Real NVP
Density estimation using Real NVP
Falong Shen
Jascha Sohl-Dickstein
Gang Zeng
DRL
113
47
0
27 May 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNNAI4CE
730
18,433
0
27 May 2016
Theano-MPI: a Theano-based Distributed Training Framework
Theano-MPI: a Theano-based Distributed Training Framework
He Ma
Fei Mao
Graham W. Taylor
GNN
64
49
0
26 May 2016
Robust Large Margin Deep Neural Networks
Robust Large Margin Deep Neural Networks
Jure Sokolić
Raja Giryes
Guillermo Sapiro
M. Rodrigues
132
309
0
26 May 2016
Discovering Causal Signals in Images
Discovering Causal Signals in Images
David Lopez-Paz
Robert Nishihara
Soumith Chintala
Bernhard Schölkopf
Léon Bottou
CML
85
227
0
26 May 2016
DeepMovie: Using Optical Flow and Deep Neural Networks to Stylize Movies
DeepMovie: Using Optical Flow and Deep Neural Networks to Stylize Movies
Alexander G. Anderson
C. P. Berg
Daniel P. Mossing
Bruno A. Olshausen
144
29
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
120
177
0
26 May 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Faster Eigenvector Computation via Shift-and-Invert Preconditioning
Dan Garber
Laurent Dinh
Chi Jin
Jascha Narain Sohl-Dickstein
Samy Bengio
Praneeth Netrapalli
Aaron Sidford
295
3,731
0
26 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
147
1,171
0
24 May 2016
Self Paced Deep Learning for Weakly Supervised Object Detection
Self Paced Deep Learning for Weakly Supervised Object Detection
E. Sangineto
Moin Nabi
D. Ćulibrk
N. Sebe
WSODSSL
105
117
0
24 May 2016
Embedding based on function approximation for large scale image search
Embedding based on function approximation for large scale image search
Thanh-Toan Do
Ngai-Man Cheung
103
40
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
ISegSSeg
164
162
0
23 May 2016
Fine-to-coarse Knowledge Transfer For Low-Res Image Classification
Fine-to-coarse Knowledge Transfer For Low-Res Image Classification
Xingchao Peng
Judy Hoffman
Stella X. Yu
Kate Saenko
70
65
0
21 May 2016
Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups
Deep Roots: Improving CNN Efficiency with Hierarchical Filter Groups
Yani Andrew Ioannou
D. Robertson
R. Cipolla
A. Criminisi
113
266
0
20 May 2016
Swapout: Learning an ensemble of deep architectures
Swapout: Learning an ensemble of deep architectures
Saurabh Singh
Derek Hoiem
David A. Forsyth
BDL3DPCOODUQCV
76
150
0
20 May 2016
R-FCN: Object Detection via Region-based Fully Convolutional Networks
R-FCN: Object Detection via Region-based Fully Convolutional Networks
Jifeng Dai
Yi Li
Kaiming He
Jian Sun
ObjD
348
5,657
0
20 May 2016
Ristretto: Hardware-Oriented Approximation of Convolutional Neural
  Networks
Ristretto: Hardware-Oriented Approximation of Convolutional Neural Networks
Philipp Gysel
95
127
0
20 May 2016
FPNN: Field Probing Neural Networks for 3D Data
FPNN: Field Probing Neural Networks for 3D Data
Yangyan Li
Soren Pirk
Hao Su
C. Qi
Leonidas Guibas
3DPC
112
290
0
20 May 2016
Re-ranking Object Proposals for Object Detection in Automatic Driving
Re-ranking Object Proposals for Object Detection in Automatic Driving
Zhun Zhong
Mingyi Lei
Shaozi Li
Jianping Fan
61
5
0
19 May 2016
Improving Weakly-Supervised Object Localization By Micro-Annotation
Improving Weakly-Supervised Object Localization By Micro-Annotation
Alexander Kolesnikov
Christoph H. Lampert
84
28
0
18 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
OCLVLM
262
843
0
17 May 2016
HARRISON: A Benchmark on HAshtag Recommendation for Real-world Images in
  Social Networks
HARRISON: A Benchmark on HAshtag Recommendation for Real-world Images in Social Networks
Minseok Park
Hanxiang Li
Junmo Kim
3DVVLM
20
26
0
17 May 2016
Going Deeper into Action Recognition: A Survey
Going Deeper into Action Recognition: A Survey
Samitha Herath
Mehrtash Harandi
Fatih Porikli
116
616
0
16 May 2016
Automatic Image Annotation via Label Transfer in the Semantic Space
Automatic Image Annotation via Label Transfer in the Semantic Space
Tiberio Uricchio
Lamberto Ballan
Lorenzo Seidenari
A. Bimbo
VLM
112
82
0
16 May 2016
An Empirical Study and Analysis of Generalized Zero-Shot Learning for
  Object Recognition in the Wild
An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild
Wei-Lun Chao
Soravit Changpinyo
Boqing Gong
Fei Sha
87
569
0
13 May 2016
Movie Description
Movie Description
Anna Rohrbach
Atousa Torabi
Marcus Rohrbach
Niket Tandon
C. Pal
Hugo Larochelle
Aaron Courville
Bernt Schiele
3DVVGen
110
361
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
107
66
0
11 May 2016
Structured Receptive Fields in CNNs
Structured Receptive Fields in CNNs
J. Jacobsen
Jan van Gemert
Zhongyu Lou
A. Smeulders
72
108
0
10 May 2016
A Theoretical Analysis of Deep Neural Networks for Texture
  Classification
A Theoretical Analysis of Deep Neural Networks for Texture Classification
Saikat Basu
Manohar Karki
Robert DiBiano
S. Mukhopadhyay
S. Ganguly
R. Nemani
Shreekant Gayaka
69
37
0
09 May 2016
Ask Your Neurons: A Deep Learning Approach to Visual Question Answering
Ask Your Neurons: A Deep Learning Approach to Visual Question Answering
Mateusz Malinowski
Marcus Rohrbach
Mario Fritz
113
101
0
09 May 2016
Learning Covariant Feature Detectors
Learning Covariant Feature Detectors
Karel Lenc
Andrea Vedaldi
ObjD
115
147
0
04 May 2016
Hierarchical Bayesian Noise Inference for Robust Real-time Probabilistic
  Object Classification
Hierarchical Bayesian Noise Inference for Robust Real-time Probabilistic Object Classification
Shayegan Omidshafiei
B. Lopez
Jonathan P. How
J. Vian
60
13
0
03 May 2016
Improving Image Captioning by Concept-based Sentence Reranking
Improving Image Captioning by Concept-based Sentence Reranking
Xirong Li
Qin Jin
26
5
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
103
91
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
152
252
0
30 Apr 2016
Artistic style transfer for videos
Artistic style transfer for videos
Manuel Ruder
Alexey Dosovitskiy
Thomas Brox
137
193
0
28 Apr 2016
Simultaneous Food Localization and Recognition
Simultaneous Food Localization and Recognition
Marc Bolaños
Petia Radeva
103
97
0
27 Apr 2016
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