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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 / 11,076 papers shown
Title
Cyclical Learning Rates for Training Neural Networks
Cyclical Learning Rates for Training Neural Networks
L. Smith
ODL
321
2,548
0
03 Jun 2015
Understanding deep features with computer-generated imagery
Understanding deep features with computer-generated imagery
Mathieu Aubry
Bryan C. Russell
93
149
0
03 Jun 2015
Visual Search at Pinterest
Visual Search at Pinterest
Yushi Jing
David C. Liu
Dmitry Kislyuk
Andrew Zhai
Jiajing Xu
Jeff Donahue
Sarah Tavel
VLM
77
147
0
28 May 2015
Training a Convolutional Neural Network for Appearance-Invariant Place
  Recognition
Training a Convolutional Neural Network for Appearance-Invariant Place Recognition
Ruben Gomez-Ojeda
Manuel López-Antequera
N. Petkov
Javier González Jiménez
67
72
0
27 May 2015
Texture Synthesis Using Convolutional Neural Networks
Texture Synthesis Using Convolutional Neural Networks
Leon A. Gatys
Alexander S. Ecker
Matthias Bethge
3DV
115
131
0
27 May 2015
Accelerating Very Deep Convolutional Networks for Classification and
  Detection
Accelerating Very Deep Convolutional Networks for Classification and Detection
Xinming Zhang
Jianhua Zou
Kaiming He
Jian Sun
117
797
0
26 May 2015
Object-Proposal Evaluation Protocol is 'Gameable'
Object-Proposal Evaluation Protocol is 'Gameable'
Neelima Chavali
Harsh Agrawal
Aroma Mahendru
Dhruv Batra
85
83
0
21 May 2015
GazeDPM: Early Integration of Gaze Information in Deformable Part Models
GazeDPM: Early Integration of Gaze Information in Deformable Part Models
I. Shcherbatyi
Andreas Bulling
Mario Fritz
90
10
0
21 May 2015
Are You Talking to a Machine? Dataset and Methods for Multilingual Image
  Question Answering
Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question Answering
Haoyuan Gao
Junhua Mao
Jie Zhou
Zhiheng Huang
Lei Wang
Wenyuan Xu
101
503
0
21 May 2015
DropSample: A New Training Method to Enhance Deep Convolutional Neural
  Networks for Large-Scale Unconstrained Handwritten Chinese Character
  Recognition
DropSample: A New Training Method to Enhance Deep Convolutional Neural Networks for Large-Scale Unconstrained Handwritten Chinese Character Recognition
Weixin Yang
Lianwen Jin
Dacheng Tao
Zecheng Xie
Ziyong Feng
423
132
0
20 May 2015
Multi-scale recognition with DAG-CNNs
Multi-scale recognition with DAG-CNNs
Songfan Yang
Deva Ramanan
BDL
76
205
0
20 May 2015
Image Reconstruction from Bag-of-Visual-Words
Image Reconstruction from Bag-of-Visual-Words
Hiroharu Kato
Tatsuya Harada
141
84
0
19 May 2015
High Performance Offline Handwritten Chinese Character Recognition Using
  GoogLeNet and Directional Feature Maps
High Performance Offline Handwritten Chinese Character Recognition Using GoogLeNet and Directional Feature Maps
Zhuoyao Zhong
Lianwen Jin
Zecheng Xie
67
290
0
19 May 2015
Improving Image Classification with Location Context
Improving Image Classification with Location Context
K. Tang
Manohar Paluri
Li Fei-Fei
Rob Fergus
Lubomir D. Bourdev
SSL
88
122
0
14 May 2015
Training Deeper Convolutional Networks with Deep Supervision
Training Deeper Convolutional Networks with Deep Supervision
Liwei Wang
Chen-Yu Lee
Zhuowen Tu
Svetlana Lazebnik
86
195
0
11 May 2015
Exploring Models and Data for Image Question Answering
Exploring Models and Data for Image Question Answering
Mengye Ren
Ryan Kiros
R. Zemel
115
721
0
08 May 2015
Jointly Modeling Embedding and Translation to Bridge Video and Language
Jointly Modeling Embedding and Translation to Bridge Video and Language
Yingwei Pan
Tao Mei
Ting Yao
Houqiang Li
Y. Rui
105
535
0
07 May 2015
Language Models for Image Captioning: The Quirks and What Works
Language Models for Image Captioning: The Quirks and What Works
Jacob Devlin
Hao Cheng
Hao Fang
Saurabh Gupta
Li Deng
Xiaodong He
Geoffrey Zweig
Margaret Mitchell
126
281
0
07 May 2015
Learning to See by Moving
Learning to See by Moving
Pulkit Agrawal
João Carreira
Jitendra Malik
SSL
120
555
0
07 May 2015
Webly Supervised Learning of Convolutional Networks
Webly Supervised Learning of Convolutional Networks
Xinlei Chen
Abhinav Gupta
SSL
131
373
0
07 May 2015
A Deeper Look at Dataset Bias
A Deeper Look at Dataset Bias
Tatiana Tommasi
Novi Patricia
Barbara Caputo
Tinne Tuytelaars
108
329
0
06 May 2015
Ask Your Neurons: A Neural-based Approach to Answering Questions about
  Images
Ask Your Neurons: A Neural-based Approach to Answering Questions about Images
Mateusz Malinowski
Marcus Rohrbach
Mario Fritz
147
602
0
05 May 2015
Empirical Evaluation of Rectified Activations in Convolutional Network
Empirical Evaluation of Rectified Activations in Convolutional Network
Bing Xu
Naiyan Wang
Tianqi Chen
Mu Li
169
2,921
0
05 May 2015
Unsupervised Learning of Visual Representations using Videos
Unsupervised Learning of Visual Representations using Videos
Xinyu Wang
Abhinav Gupta
SSL
117
232
0
04 May 2015
Sequence to Sequence -- Video to Text
Sequence to Sequence -- Video to Text
Subhashini Venugopalan
Marcus Rohrbach
Jeff Donahue
Raymond J. Mooney
Trevor Darrell
Kate Saenko
195
1,421
0
03 May 2015
Object-Scene Convolutional Neural Networks for Event Recognition in
  Images
Object-Scene Convolutional Neural Networks for Event Recognition in Images
Limin Wang
Zhe Wang
Wenbin Du
Yu Qiao
93
67
0
02 May 2015
PerforatedCNNs: Acceleration through Elimination of Redundant
  Convolutions
PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions
Mikhail Figurnov
Aizhan Ibraimova
Dmitry Vetrov
Pushmeet Kohli
94
137
0
30 Apr 2015
Deep Neural Networks with Random Gaussian Weights: A Universal
  Classification Strategy?
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?
Raja Giryes
Guillermo Sapiro
A. Bronstein
152
187
0
30 Apr 2015
Anticipating Visual Representations from Unlabeled Video
Anticipating Visual Representations from Unlabeled Video
Carl Vondrick
Hamed Pirsiavash
Antonio Torralba
97
145
0
29 Apr 2015
Bilinear CNNs for Fine-grained Visual Recognition
Bilinear CNNs for Fine-grained Visual Recognition
Tsung-Yu Lin
Aruni RoyChowdhury
Subhransu Maji
197
1,879
0
29 Apr 2015
Becoming the Expert - Interactive Multi-Class Machine Teaching
Becoming the Expert - Interactive Multi-Class Machine Teaching
Edward Johns
Oisin Mac Aodha
Gabriel J. Brostow
95
75
0
28 Apr 2015
Speeding Up Neural Networks for Large Scale Classification using WTA
  Hashing
Speeding Up Neural Networks for Large Scale Classification using WTA Hashing
Amir-Hossein Bakhtiary
Àgata Lapedriza
David Masip
66
10
0
28 Apr 2015
Learning like a Child: Fast Novel Visual Concept Learning from Sentence
  Descriptions of Images
Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images
Junhua Mao
Xu Wei
Yi Yang
Jiang Wang
Zhiheng Huang
Alan Yuille
116
155
0
25 Apr 2015
Situational Object Boundary Detection
Situational Object Boundary Detection
J. Uijlings
V. Ferrari
79
29
0
24 Apr 2015
Holistically-Nested Edge Detection
Holistically-Nested Edge Detection
Saining Xie
Zhuowen Tu
211
3,503
0
24 Apr 2015
High-for-Low and Low-for-High: Efficient Boundary Detection from Deep
  Object Features and its Applications to High-Level Vision
High-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and its Applications to High-Level Vision
Gedas Bertasius
Jianbo Shi
Lorenzo Torresani
107
168
0
23 Apr 2015
Linear Maximum Margin Classifier for Learning from Uncertain Data
Linear Maximum Margin Classifier for Learning from Uncertain Data
Christos Tzelepis
Vasileios Mezaris
Ioannis Patras
46
42
0
15 Apr 2015
Improving Object Detection with Deep Convolutional Networks via Bayesian
  Optimization and Structured Prediction
Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction
Y. Zhang
Kihyuk Sohn
Ruben Villegas
Gang Pan
Honglak Lee
ObjD
69
215
0
13 Apr 2015
Real-world Object Recognition with Off-the-shelf Deep Conv Nets: How
  Many Objects can iCub Learn?
Real-world Object Recognition with Off-the-shelf Deep Conv Nets: How Many Objects can iCub Learn?
Giulia Pasquale
C. Ciliberto
Francesca Odone
Lorenzo Rosasco
Lorenzo Natale
56
12
0
13 Apr 2015
MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking
MOTChallenge 2015: Towards a Benchmark for Multi-Target Tracking
Laura Leal-Taixé
Anton Milan
Ian Reid
Stefan Roth
Konrad Schindler
VOT
127
817
0
08 Apr 2015
Temporal Localization of Fine-Grained Actions in Videos by Domain
  Transfer from Web Images
Temporal Localization of Fine-Grained Actions in Videos by Domain Transfer from Web Images
Chen Sun
Sanketh Shetty
Rahul Sukthankar
Ram Nevatia
87
135
0
04 Apr 2015
Socializing the Semantic Gap: A Comparative Survey on Image Tag
  Assignment, Refinement and Retrieval
Socializing the Semantic Gap: A Comparative Survey on Image Tag Assignment, Refinement and Retrieval
Xirong Li
Tiberio Uricchio
Lamberto Ballan
Marco Bertini
Cees G. M. Snoek
A. Bimbo
3DV
100
113
0
28 Mar 2015
Initialization Strategies of Spatio-Temporal Convolutional Neural
  Networks
Initialization Strategies of Spatio-Temporal Convolutional Neural Networks
Elman Mansimov
Nitish Srivastava
Ruslan Salakhutdinov
3DPC
91
35
0
25 Mar 2015
Implementation of a Practical Distributed Calculation System with
  Browsers and JavaScript, and Application to Distributed Deep Learning
Implementation of a Practical Distributed Calculation System with Browsers and JavaScript, and Application to Distributed Deep Learning
K. Miura
Tatsuya Harada
48
10
0
19 Mar 2015
Fully Connected Deep Structured Networks
Fully Connected Deep Structured Networks
Alex Schwing
R. Urtasun
SSeg
146
310
0
09 Mar 2015
Color Image Classification via Quaternion Principal Component Analysis
  Network
Color Image Classification via Quaternion Principal Component Analysis Network
Rui Zeng
Jiasong Wu
Zhuhong Shao
Yang Chen
L. Senhadji
H. Shu
89
71
0
05 Mar 2015
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks
  for Semantic Segmentation
BoxSup: Exploiting Bounding Boxes to Supervise Convolutional Networks for Semantic Segmentation
Jifeng Dai
Kaiming He
Jian Sun
242
1,046
0
05 Mar 2015
What's Cookin'? Interpreting Cooking Videos using Text, Speech and
  Vision
What's Cookin'? Interpreting Cooking Videos using Text, Speech and Vision
J. Malmaud
Jonathan Huang
V. Rathod
Nick Johnston
Andrew Rabinovich
Kevin Patrick Murphy
136
152
0
05 Mar 2015
Probabilistic Label Relation Graphs with Ising Models
Probabilistic Label Relation Graphs with Ising Models
Nan Ding
Jia Deng
Kevin Patrick Murphy
Hartmut Neven
106
30
0
04 Mar 2015
Joint calibration of Ensemble of Exemplar SVMs
Joint calibration of Ensemble of Exemplar SVMs
Davide Modolo
A. Vezhnevets
Olga Russakovsky
V. Ferrari
49
12
0
02 Mar 2015
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