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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 / 11,124 papers shown
Title
Searching Scenes by Abstracting Things
Searching Scenes by Abstracting Things
S. Kordumova
Jan van Gemert
Cees G. M. Snoek
A. Smeulders
33
0
0
06 Oct 2016
PCA-aided Fully Convolutional Networks for Semantic Segmentation of
  Multi-channel fMRI
PCA-aided Fully Convolutional Networks for Semantic Segmentation of Multi-channel fMRI
L. Tai
Haoyang Ye
Qiong Ye
Ming-Yuan Liu
37
12
0
06 Oct 2016
Understanding intermediate layers using linear classifier probes
Understanding intermediate layers using linear classifier probes
Guillaume Alain
Yoshua Bengio
FAtt
251
962
0
05 Oct 2016
Recognizing and Presenting the Storytelling Video Structure with Deep
  Multimodal Networks
Recognizing and Presenting the Storytelling Video Structure with Deep Multimodal Networks
Lorenzo Baraldi
C. Grana
Rita Cucchiara
78
49
0
05 Oct 2016
Knowledge Guided Disambiguation for Large-Scale Scene Classification
  with Multi-Resolution CNNs
Knowledge Guided Disambiguation for Large-Scale Scene Classification with Multi-Resolution CNNs
Limin Wang
Sheng Guo
Weilin Huang
Yuanjun Xiong
Yu Qiao
111
144
0
04 Oct 2016
Tutorial on Answering Questions about Images with Deep Learning
Tutorial on Answering Questions about Images with Deep Learning
Mateusz Malinowski
Mario Fritz
VLM
72
3
0
04 Oct 2016
Prediction of Manipulation Actions
Prediction of Manipulation Actions
Cornelia Fermuller
Fang Wang
Yezhou Yang
Konstantinos Zampogiannis
Yi Zhang
Francisco Barranco
Michael Pfeiffer
80
51
0
03 Oct 2016
One-Trial Correction of Legacy AI Systems and Stochastic Separation
  Theorems
One-Trial Correction of Legacy AI Systems and Stochastic Separation Theorems
Alexander N. Gorban
I. Romanenko
Richard Burton
I. Tyukin
84
29
0
03 Oct 2016
Plug-and-Play CNN for Crowd Motion Analysis: An Application in Abnormal
  Event Detection
Plug-and-Play CNN for Crowd Motion Analysis: An Application in Abnormal Event Detection
Mahdyar Ravanbakhsh
Moin Nabi
Hossein Mousavi
E. Sangineto
N. Sebe
229
199
0
02 Oct 2016
How Transferable are CNN-based Features for Age and Gender
  Classification?
How Transferable are CNN-based Features for Age and Gender Classification?
Gökhan Özbulak
Y. Aytar
H. K. Ekenel
CVBM
71
105
0
01 Oct 2016
A deep representation for depth images from synthetic data
A deep representation for depth images from synthetic data
Fabio Maria Carlucci
P. Russo
Barbara Caputo
MDE3DV
68
34
0
30 Sep 2016
Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the
  Amazon Picking Challenge
Multi-view Self-supervised Deep Learning for 6D Pose Estimation in the Amazon Picking Challenge
Andy Zeng
Kuan-Ting Yu
Shuran Song
Daniel Suo
Ed Walker
Alberto Rodriguez
Jianxiong Xiao
SSL
105
460
0
29 Sep 2016
Classifier comparison using precision
Classifier comparison using precision
Lovedeep Gondara
48
3
0
29 Sep 2016
Similarity Mapping with Enhanced Siamese Network for Multi-Object
  Tracking
Similarity Mapping with Enhanced Siamese Network for Multi-Object Tracking
Minyoung Kim
S. Alletto
Luca Rigazio
VOT
106
31
0
28 Sep 2016
YouTube-8M: A Large-Scale Video Classification Benchmark
YouTube-8M: A Large-Scale Video Classification Benchmark
Sami Abu-El-Haija
Nisarg Kothari
Joonseok Lee
Apostol Natsev
G. Toderici
Balakrishnan Varadarajan
Sudheendra Vijayanarasimhan
VLM
231
1,275
0
27 Sep 2016
Asynchronous Stochastic Gradient Descent with Delay Compensation
Asynchronous Stochastic Gradient Descent with Delay Compensation
Shuxin Zheng
Qi Meng
Taifeng Wang
Wei Chen
Nenghai Yu
Zhiming Ma
Tie-Yan Liu
199
317
0
27 Sep 2016
Optimistic and Pessimistic Neural Networks for Scene and Object
  Recognition
Optimistic and Pessimistic Neural Networks for Scene and Object Recognition
René Grzeszick
Sebastian Sudholt
G. Fink
UQCV
74
4
0
26 Sep 2016
Meaningful Maps With Object-Oriented Semantic Mapping
Meaningful Maps With Object-Oriented Semantic Mapping
Niko Sünderhauf
Trung T. Pham
Yasir Latif
Michael Milford
Ian Reid
3DPC
110
216
0
26 Sep 2016
Neural Photo Editing with Introspective Adversarial Networks
Neural Photo Editing with Introspective Adversarial Networks
Andrew Brock
Theodore Lim
J. Ritchie
Nick Weston
GAN
117
461
0
22 Sep 2016
Distributed Training of Deep Neural Networks: Theoretical and Practical
  Limits of Parallel Scalability
Distributed Training of Deep Neural Networks: Theoretical and Practical Limits of Parallel Scalability
J. Keuper
Franz-Josef Pfreundt
GNN
145
98
0
22 Sep 2016
Deep Learning for Video Classification and Captioning
Deep Learning for Video Classification and Captioning
Zuxuan Wu
Ting Yao
Yanwei Fu
Yu-Gang Jiang
3DVVLM
78
124
0
22 Sep 2016
Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning
  Challenge
Show and Tell: Lessons learned from the 2015 MSCOCO Image Captioning Challenge
Oriol Vinyals
Alexander Toshev
Samy Bengio
D. Erhan
170
859
0
21 Sep 2016
From Facial Expression Recognition to Interpersonal Relation Prediction
From Facial Expression Recognition to Interpersonal Relation Prediction
Zhanpeng Zhang
Ping Luo
Chen Change Loy
Xiaoou Tang
CVBM
84
273
0
21 Sep 2016
Automated Visual Fin Identification of Individual Great White Sharks
Automated Visual Fin Identification of Individual Great White Sharks
Benjamin Hughes
T. Burghardt
74
46
0
20 Sep 2016
Fast Single Shot Detection and Pose Estimation
Fast Single Shot Detection and Pose Estimation
Patrick Poirson
Phil Ammirato
Cheng-Yang Fu
Wei Liu
Jana Kosecka
Alexander C. Berg
3DPC
81
111
0
19 Sep 2016
Pose from Action: Unsupervised Learning of Pose Features based on Motion
Pose from Action: Unsupervised Learning of Pose Features based on Motion
Senthil Purushwalkam
Abhinav Gupta
SSL
88
23
0
18 Sep 2016
Deep Kinematic Pose Regression
Deep Kinematic Pose Regression
Xingyi Zhou
Xiao Sun
Wei Zhang
Shuang Liang
Yichen Wei
3DH
98
265
0
17 Sep 2016
The ACRV Picking Benchmark (APB): A Robotic Shelf Picking Benchmark to
  Foster Reproducible Research
The ACRV Picking Benchmark (APB): A Robotic Shelf Picking Benchmark to Foster Reproducible Research
Jurgen Leitner
Adam W. Tow
Jake E. Dean
Niko Sünderhauf
Joseph W. Durham
...
James Sergeant
Liao Wu
Fangyi Zhang
B. Upcroft
Peter Corke
82
79
0
17 Sep 2016
Real-Time Single Image and Video Super-Resolution Using an Efficient
  Sub-Pixel Convolutional Neural Network
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
Wenzhe Shi
Jose Caballero
Ferenc Huszár
J. Totz
Andrew P. Aitken
Rob Bishop
Daniel Rueckert
Zehan Wang
SupR
701
5,270
0
16 Sep 2016
Photo-Realistic Single Image Super-Resolution Using a Generative
  Adversarial Network
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
C. Ledig
Lucas Theis
Ferenc Huszár
Jose Caballero
Andrew Cunningham
...
Andrew P. Aitken
Alykhan Tejani
J. Totz
Zehan Wang
Wenzhe Shi
GAN
563
10,756
0
15 Sep 2016
A Greedy Algorithm to Cluster Specialists
A Greedy Algorithm to Cluster Specialists
Sébastien Arnold
28
0
0
13 Sep 2016
DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for
  Object Skeleton Extraction in Natural Images
DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for Object Skeleton Extraction in Natural Images
Wei Shen
Kai Zhao
Yuan Jiang
Yan Wang
X. Bai
Alan Yuille
123
100
0
13 Sep 2016
Detecting Text in Natural Image with Connectionist Text Proposal Network
Detecting Text in Natural Image with Connectionist Text Proposal Network
Zhi Tian
Weilin Huang
Tong He
Pan He
Yu Qiao
92
942
0
12 Sep 2016
CompAdaGrad: A Compressed, Complementary, Computationally-Efficient
  Adaptive Gradient Method
CompAdaGrad: A Compressed, Complementary, Computationally-Efficient Adaptive Gradient Method
Nishant A. Mehta
Alistair P. Rendell
Anish Varghese
C. Webers
ODL
42
3
0
12 Sep 2016
Energy-based Generative Adversarial Network
Energy-based Generative Adversarial Network
Jiaqi Zhao
Michaël Mathieu
Yann LeCun
GAN
194
1,116
0
11 Sep 2016
Quantifying Radiographic Knee Osteoarthritis Severity using Deep
  Convolutional Neural Networks
Quantifying Radiographic Knee Osteoarthritis Severity using Deep Convolutional Neural Networks
Joseph Antony
Kevin McGuinness
Noel E. O'Connor
Kieran Moran
MedIm
85
253
0
08 Sep 2016
Fitted Learning: Models with Awareness of their Limits
Fitted Learning: Models with Awareness of their Limits
Navid Kardan
Kenneth O. Stanley
CLL
92
16
0
07 Sep 2016
UberNet: Training a `Universal' Convolutional Neural Network for Low-,
  Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
UberNet: Training a `Universal' Convolutional Neural Network for Low-, Mid-, and High-Level Vision using Diverse Datasets and Limited Memory
Iasonas Kokkinos
SSegSSL
172
678
0
07 Sep 2016
Semantic Video Trailers
Semantic Video Trailers
Harrie Oosterhuis
Sujith Ravi
Michael Bendersky
51
8
0
07 Sep 2016
Built-in Foreground/Background Prior for Weakly-Supervised Semantic
  Segmentation
Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation
F. Saleh
Mohammad Sadegh Ali Akbarian
Mathieu Salzmann
L. Petersson
Stephen Gould
J. Álvarez
97
140
0
02 Sep 2016
Deep Learning Human Mind for Automated Visual Classification
Deep Learning Human Mind for Automated Visual Classification
C. Spampinato
S. Palazzo
I. Kavasidis
Daniela Giordano
M. Shah
Nasim Souly
108
232
0
01 Sep 2016
Segmentation Free Object Discovery in Video
Segmentation Free Object Discovery in Video
G. Cuffaro
Federico Becattini
C. Baecchi
Lorenzo Seidenari
Marco Bertini
VOS
65
12
0
01 Sep 2016
Weakly Supervised PatchNets: Describing and Aggregating Local Patches
  for Scene Recognition
Weakly Supervised PatchNets: Describing and Aggregating Local Patches for Scene Recognition
Zhe Wang
Limin Wang
Yali Wang
Bowen Zhang
Yu Qiao
108
82
0
01 Sep 2016
Grid Loss: Detecting Occluded Faces
Grid Loss: Detecting Occluded Faces
M. Opitz
Georg Waltner
Georg Poier
Horst Possegger
Horst Bischof
CVBM
93
76
0
01 Sep 2016
hi-RF: Incremental Learning Random Forest for large-scale multi-class
  Data Classification
hi-RF: Incremental Learning Random Forest for large-scale multi-class Data Classification
Tingting Xie
Yuxing Peng
Changjian Wang
31
7
0
31 Aug 2016
Pruning Filters for Efficient ConvNets
Pruning Filters for Efficient ConvNets
Hao Li
Asim Kadav
Igor Durdanovic
H. Samet
H. Graf
3DPC
301
3,734
0
31 Aug 2016
What makes ImageNet good for transfer learning?
What makes ImageNet good for transfer learning?
Minyoung Huh
Pulkit Agrawal
Alexei A. Efros
OODSSegVLMSSL
129
678
0
30 Aug 2016
Multi-Class Multi-Object Tracking using Changing Point Detection
Multi-Class Multi-Object Tracking using Changing Point Detection
Byungjae Lee
Enkhbayar Erdenee
SongGuo Jin
P. Rhee
VOT
57
25
0
30 Aug 2016
Edge Preserving and Multi-Scale Contextual Neural Network for Salient
  Object Detection
Edge Preserving and Multi-Scale Contextual Neural Network for Salient Object Detection
Xiang Wang
Huimin Ma
Xiaozhi Chen
Shaodi You
ObjD
86
97
0
29 Aug 2016
Human Action Recognition without Human
Human Action Recognition without Human
Yun He
Soma Shirakabe
Y. Satoh
Hirokatsu Kataoka
88
43
0
29 Aug 2016
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