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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"

38 / 7,988 papers shown
Title
Deep Domain Confusion: Maximizing for Domain Invariance
Deep Domain Confusion: Maximizing for Domain Invariance
Eric Tzeng
Judy Hoffman
Ning Zhang
Kate Saenko
Trevor Darrell
OOD
59
2,582
0
10 Dec 2014
Visual Causal Feature Learning
Visual Causal Feature Learning
Krzysztof Chalupka
Pietro Perona
F. Eberhardt
CML
OOD
28
139
0
07 Dec 2014
Deep Visual-Semantic Alignments for Generating Image Descriptions
Deep Visual-Semantic Alignments for Generating Image Descriptions
A. Karpathy
Li Fei-Fei
24
5,559
0
07 Dec 2014
Deep Neural Networks are Easily Fooled: High Confidence Predictions for
  Unrecognizable Images
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
Anh Totti Nguyen
J. Yosinski
Jeff Clune
AAML
72
3,248
0
05 Dec 2014
Convolutional Neural Networks at Constrained Time Cost
Convolutional Neural Networks at Constrained Time Cost
Kaiming He
Jian Sun
3DV
49
1,290
0
04 Dec 2014
Scalable, High-Quality Object Detection
Scalable, High-Quality Object Detection
Christian Szegedy
Scott E. Reed
D. Erhan
Dragomir Anguelov
Sergey Ioffe
ObjD
38
369
0
03 Dec 2014
Detector Discovery in the Wild: Joint Multiple Instance and
  Representation Learning
Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning
Judy Hoffman
Deepak Pathak
Trevor Darrell
Kate Saenko
31
77
0
02 Dec 2014
DeepEdge: A Multi-Scale Bifurcated Deep Network for Top-Down Contour
  Detection
DeepEdge: A Multi-Scale Bifurcated Deep Network for Top-Down Contour Detection
Gedas Bertasius
Jianbo Shi
Lorenzo Torresani
33
467
0
02 Dec 2014
Feedforward semantic segmentation with zoom-out features
Feedforward semantic segmentation with zoom-out features
Mohammadreza Mostajabi
Payman Yadollahpour
Gregory Shakhnarovich
MDE
SSeg
31
474
0
02 Dec 2014
Learning Spatiotemporal Features with 3D Convolutional Networks
Learning Spatiotemporal Features with 3D Convolutional Networks
Du Tran
Lubomir D. Bourdev
Rob Fergus
Lorenzo Torresani
Manohar Paluri
3DPC
36
410
0
02 Dec 2014
Material Recognition in the Wild with the Materials in Context Database
Material Recognition in the Wild with the Materials in Context Database
Sean Bell
P. Upchurch
Noah Snavely
Kavita Bala
46
519
0
01 Dec 2014
Effective Use of Word Order for Text Categorization with Convolutional
  Neural Networks
Effective Use of Word Order for Text Categorization with Convolutional Neural Networks
Rie Johnson
Tong Zhang
49
881
0
01 Dec 2014
3D-Assisted Image Feature Synthesis for Novel Views of an Object
3D-Assisted Image Feature Synthesis for Novel Views of an Object
Hao Su
F. Wang
L. Yi
Leonidas J. Guibas
DiffM
37
29
0
26 Nov 2014
Understanding Deep Image Representations by Inverting Them
Understanding Deep Image Representations by Inverting Them
Aravindh Mahendran
Andrea Vedaldi
FAtt
60
1,955
0
26 Nov 2014
Persistent Evidence of Local Image Properties in Generic ConvNets
Persistent Evidence of Local Image Properties in Generic ConvNets
A. Razavian
Hossein Azizpour
A. Maki
Josephine Sullivan
Carl Henrik Ek
S. Carlsson
SSL
37
6
0
24 Nov 2014
Mid-level Deep Pattern Mining
Mid-level Deep Pattern Mining
Yao Li
Lingqiao Liu
Chunhua Shen
Anton Van Den Hengel
32
100
0
24 Nov 2014
Scale-Invariant Convolutional Neural Networks
Scale-Invariant Convolutional Neural Networks
Yichong Xu
Tianjun Xiao
Jiaxing Zhang
Kuiyuan Yang
Zheng Zhang
59
138
0
24 Nov 2014
Visual Sentiment Prediction with Deep Convolutional Neural Networks
Visual Sentiment Prediction with Deep Convolutional Neural Networks
Can Xu
Suleyman Cetintas
Kuang-chih Lee
Li Li
HAI
14
127
0
21 Nov 2014
Salient Object Detection: A Survey
Salient Object Detection: A Survey
Ali Borji
Ming-Ming Cheng
Qibin Hou
Huaizu Jiang
Jia Li
44
753
0
18 Nov 2014
Show and Tell: A Neural Image Caption Generator
Show and Tell: A Neural Image Caption Generator
Oriol Vinyals
Alexander Toshev
Samy Bengio
D. Erhan
3DV
110
5,996
0
17 Nov 2014
Long-term Recurrent Convolutional Networks for Visual Recognition and
  Description
Long-term Recurrent Convolutional Networks for Visual Recognition and Description
Jeff Donahue
Lisa Anne Hendricks
Marcus Rohrbach
Subhashini Venugopalan
S. Guadarrama
Kate Saenko
Trevor Darrell
VLM
94
6,032
0
17 Nov 2014
Efficient and Accurate Approximations of Nonlinear Convolutional
  Networks
Efficient and Accurate Approximations of Nonlinear Convolutional Networks
Xinming Zhang
Jianhua Zou
Xiang Ming
Kaiming He
Jian Sun
3DV
32
263
0
16 Nov 2014
cuDNN: Efficient Primitives for Deep Learning
cuDNN: Efficient Primitives for Deep Learning
Sharan Chetlur
Cliff Woolley
Philippe Vandermersch
Jonathan M. Cohen
J. Tran
Bryan Catanzaro
Evan Shelhamer
63
1,843
0
03 Oct 2014
Ctrax extensions for tracking in difficult lighting conditions
Ctrax extensions for tracking in difficult lighting conditions
Ulrich Stern
Chung-Hui Yang
26
8
0
25 Sep 2014
DeepID-Net: multi-stage and deformable deep convolutional neural
  networks for object detection
DeepID-Net: multi-stage and deformable deep convolutional neural networks for object detection
Wanli Ouyang
Ping Luo
Xingyu Zeng
Shi Qiu
Yonglong Tian
...
Zhenyao Zhu
Ruohui Wang
Chen Change Loy
Xiaogang Wang
Xiaoou Tang
ObjD
80
159
0
11 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
225
99,682
0
04 Sep 2014
FollowMe: Efficient Online Min-Cost Flow Tracking with Bounded Memory
  and Computation
FollowMe: Efficient Online Min-Cost Flow Tracking with Bounded Memory and Computation
Philip Lenz
Andreas Geiger
R. Urtasun
VOT
28
106
0
23 Jul 2014
Learning Rich Features from RGB-D Images for Object Detection and
  Segmentation
Learning Rich Features from RGB-D Images for Object Detection and Segmentation
Saurabh Gupta
Ross B. Girshick
Pablo Arbeláez
Jitendra Malik
ObjD
60
1,556
0
22 Jul 2014
LSDA: Large Scale Detection Through Adaptation
LSDA: Large Scale Detection Through Adaptation
Judy Hoffman
S. Guadarrama
Eric Tzeng
Ronghang Hu
Jeff Donahue
Ross B. Girshick
Trevor Darrell
Kate Saenko
ObjD
53
335
0
18 Jul 2014
Part-based R-CNNs for Fine-grained Category Detection
Part-based R-CNNs for Fine-grained Category Detection
Ning Zhang
Jeff Donahue
Ross B. Girshick
Trevor Darrell
ObjD
54
1,222
0
15 Jul 2014
Simultaneous Detection and Segmentation
Simultaneous Detection and Segmentation
Bharath Hariharan
Pablo Arbeláez
Ross B. Girshick
Jitendra Malik
ObjD
ISeg
69
1,290
0
07 Jul 2014
Factors of Transferability for a Generic ConvNet Representation
Factors of Transferability for a Generic ConvNet Representation
Hossein Azizpour
A. Razavian
Josephine Sullivan
A. Maki
S. Carlsson
33
421
0
22 Jun 2014
R-CNNs for Pose Estimation and Action Detection
R-CNNs for Pose Estimation and Action Detection
Georgia Gkioxari
Bharath Hariharan
Ross B. Girshick
Jitendra Malik
29
158
0
19 Jun 2014
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual
  Recognition
Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
ObjD
92
11,144
0
18 Jun 2014
PCANet: A Simple Deep Learning Baseline for Image Classification?
PCANet: A Simple Deep Learning Baseline for Image Classification?
Tsung-Han Chan
Kui Jia
Shenghua Gao
Jiwen Lu
Zinan Zeng
Yi Ma
67
1,496
0
14 Apr 2014
CNN Features off-the-shelf: an Astounding Baseline for Recognition
CNN Features off-the-shelf: an Astounding Baseline for Recognition
A. Razavian
Hossein Azizpour
Josephine Sullivan
S. Carlsson
64
4,932
0
23 Mar 2014
One-Shot Adaptation of Supervised Deep Convolutional Models
One-Shot Adaptation of Supervised Deep Convolutional Models
Judy Hoffman
Eric Tzeng
Jeff Donahue
Yangqing Jia
Kate Saenko
Trevor Darrell
OOD
34
80
0
21 Dec 2013
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
268
7,640
0
03 Jul 2012
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