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ImageNet Large Scale Visual Recognition Challenge

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
    VLM
    ObjD
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Papers citing "ImageNet Large Scale Visual Recognition Challenge"

50 / 8,428 papers shown
Title
Eye Tracking for Everyone
Eye Tracking for Everyone
K. Krafka
A. Khosla
Petr Kellnhofer
Harini Kannan
S. Bhandarkar
Wojciech Matusik
Antonio Torralba
53
846
0
18 Jun 2016
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
33
938
0
18 Jun 2016
Learning feed-forward one-shot learners
Learning feed-forward one-shot learners
Luca Bertinetto
João F. Henriques
Jack Valmadre
Philip Torr
Andrea Vedaldi
18
469
0
16 Jun 2016
Optimization Methods for Large-Scale Machine Learning
Optimization Methods for Large-Scale Machine Learning
Léon Bottou
Frank E. Curtis
J. Nocedal
152
3,183
0
15 Jun 2016
Attend Refine Repeat: Active Box Proposal Generation via In-Out
  Localization
Attend Refine Repeat: Active Box Proposal Generation via In-Out Localization
Spyridon Gidaris
N. Komodakis
ObjD
24
79
0
14 Jun 2016
Open-Set Support Vector Machines
Open-Set Support Vector Machines
Pedro Ribeiro Mendes Júnior
Terrance E. Boult
Jacques Wainer
Anderson de Rezende Rocha
VLM
29
18
0
13 Jun 2016
Deep Learning Convolutional Networks for Multiphoton Microscopy
  Vasculature Segmentation
Deep Learning Convolutional Networks for Multiphoton Microscopy Vasculature Segmentation
Petteri Teikari
Marc A. Santos
Charissa Poon
K. Hynynen
3DV
34
48
0
08 Jun 2016
Active Long Term Memory Networks
Active Long Term Memory Networks
Tommaso Furlanello
Jiaping Zhao
Andrew M. Saxe
Laurent Itti
B. Tjan
KELM
CLL
32
41
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
OOD
MQ
25
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
27
93
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
23
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
25
1,311
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
3DV
MDE
24
1,821
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
55
141
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
11
10
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
686
0
30 May 2016
Density estimation using Real NVP
Density estimation using Real NVP
Falong Shen
Jascha Sohl-Dickstein
Gang Zeng
DRL
35
3,658
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
GNN
AI4CE
176
18,276
0
27 May 2016
Robust Large Margin Deep Neural Networks
Robust Large Margin Deep Neural Networks
Jure Sokolić
Raja Giryes
Guillermo Sapiro
M. Rodrigues
36
307
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
19
225
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
14
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
40
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
97
78
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
19
1,165
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
WSOD
SSL
35
116
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
30
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
ISeg
SSeg
14
161
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
24
65
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
26
150
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
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
32
288
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
21
5
0
19 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
611
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
41
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
30
563
0
13 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
354
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
31
66
0
11 May 2016
Structured Receptive Fields in CNNs
Structured Receptive Fields in CNNs
J. Jacobsen
Jan van Gemert
Zhongyu Lou
A. Smeulders
16
107
0
10 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
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
41
250
0
30 Apr 2016
Artistic style transfer for videos
Artistic style transfer for videos
Manuel Ruder
Alexey Dosovitskiy
Thomas Brox
26
194
0
28 Apr 2016
Simultaneous Food Localization and Recognition
Simultaneous Food Localization and Recognition
Marc Bolaños
Petia Radeva
16
94
0
27 Apr 2016
Are Face and Object Recognition Independent? A Neurocomputational
  Modeling Exploration
Are Face and Object Recognition Independent? A Neurocomputational Modeling Exploration
Panqu Wang
I. Gauthier
G. Cottrell
OOD
CVBM
14
20
0
26 Apr 2016
Stochastic Variance-Reduced ADMM
Stochastic Variance-Reduced ADMM
Shuai Zheng
James T. Kwok
49
59
0
24 Apr 2016
Word2VisualVec: Image and Video to Sentence Matching by Visual Feature
  Prediction
Word2VisualVec: Image and Video to Sentence Matching by Visual Feature Prediction
Jianfeng Dong
Xirong Li
Cees G. M. Snoek
3DV
24
35
0
23 Apr 2016
Articulated Hand Pose Estimation Review
Articulated Hand Pose Estimation Review
Emad Barsoum
21
21
0
21 Apr 2016
Automatic Graphic Logo Detection via Fast Region-based Convolutional
  Networks
Automatic Graphic Logo Detection via Fast Region-based Convolutional Networks
Gonçalo Oliveira
Xavier Frazão
A. Pimentel
B. Ribeiro
35
44
0
20 Apr 2016
Scene Parsing with Integration of Parametric and Non-parametric Models
Scene Parsing with Integration of Parametric and Non-parametric Models
Bing Shuai
Zhen Zuo
G. Wang
Bernie Wang
27
18
0
20 Apr 2016
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