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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 / 8,553 papers shown
Title
Adaptive Object Detection Using Adjacency and Zoom Prediction
Adaptive Object Detection Using Adjacency and Zoom Prediction
Y. Lu
T. Javidi
Svetlana Lazebnik
ObjD
34
75
0
24 Dec 2015
We Are Humor Beings: Understanding and Predicting Visual Humor
We Are Humor Beings: Understanding and Predicting Visual Humor
Arjun Chandrasekaran
Ashwin K. Vijayakumar
Stanislaw Antol
Joey Tianyi Zhou
Dhruv Batra
C. L. Zitnick
Devi Parikh
34
56
0
14 Dec 2015
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and
  Recurrent Neural Networks
Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks
Sean Bell
C. L. Zitnick
Kavita Bala
Ross B. Girshick
ObjD
41
1,206
0
14 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
611
192,091
0
10 Dec 2015
Learning to Point and Count
Learning to Point and Count
Jie Shao
Dequan Wang
Xiangyang Xue
Zheng Zhang
28
5
0
08 Dec 2015
Sparsifying Neural Network Connections for Face Recognition
Sparsifying Neural Network Connections for Face Recognition
Yi Sun
Xiaogang Wang
Xiaoou Tang
3DH
CVBM
32
141
0
07 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DV
BDL
164
27,191
0
02 Dec 2015
Analyzing Classifiers: Fisher Vectors and Deep Neural Networks
Analyzing Classifiers: Fisher Vectors and Deep Neural Networks
Sebastian Bach
Alexander Binder
G. Montavon
K. Müller
Wojciech Samek
35
199
0
01 Dec 2015
DenseCap: Fully Convolutional Localization Networks for Dense Captioning
DenseCap: Fully Convolutional Localization Networks for Dense Captioning
Justin Johnson
A. Karpathy
Li Fei-Fei
VLM
77
1,162
0
24 Nov 2015
Where To Look: Focus Regions for Visual Question Answering
Where To Look: Focus Regions for Visual Question Answering
Kevin J. Shih
Saurabh Singh
Derek Hoiem
43
457
0
23 Nov 2015
Adapting Deep Visuomotor Representations with Weak Pairwise Constraints
Adapting Deep Visuomotor Representations with Weak Pairwise Constraints
Eric Tzeng
Coline Devin
Judy Hoffman
Chelsea Finn
Pieter Abbeel
Sergey Levine
Kate Saenko
Trevor Darrell
OOD
31
139
0
23 Nov 2015
End-to-end Learning of Action Detection from Frame Glimpses in Videos
End-to-end Learning of Action Detection from Frame Glimpses in Videos
Serena Yeung
Olga Russakovsky
Greg Mori
Li Fei-Fei
EgoV
38
609
0
22 Nov 2015
Gradual DropIn of Layers to Train Very Deep Neural Networks
Gradual DropIn of Layers to Train Very Deep Neural Networks
L. Smith
Emily M. Hand
T. Doster
AI4CE
37
33
0
22 Nov 2015
Data-dependent Initializations of Convolutional Neural Networks
Data-dependent Initializations of Convolutional Neural Networks
Philipp Krahenbuhl
Carl Doersch
Jeff Donahue
Trevor Darrell
VLM
47
202
0
21 Nov 2015
Mapping Images to Sentiment Adjective Noun Pairs with Factorized Neural
  Nets
Mapping Images to Sentiment Adjective Noun Pairs with Factorized Neural Nets
T. Narihira
Damian Borth
Stella X. Yu
Karl S. Ni
Trevor Darrell
CoGe
24
14
0
21 Nov 2015
The Unreasonable Effectiveness of Noisy Data for Fine-Grained
  Recognition
The Unreasonable Effectiveness of Noisy Data for Fine-Grained Recognition
J. Krause
Benjamin Sapp
Andrew Howard
Howard Zhou
Alexander Toshev
Tom Duerig
James Philbin
Fei-Fei Li
34
364
0
20 Nov 2015
Top-k Multiclass SVM
Top-k Multiclass SVM
Maksim Lapin
Matthias Hein
Bernt Schiele
VLM
11
91
0
20 Nov 2015
A convnet for non-maximum suppression
A convnet for non-maximum suppression
J. Hosang
Rodrigo Benenson
Bernt Schiele
28
74
0
19 Nov 2015
Comparative Study of Deep Learning Software Frameworks
Comparative Study of Deep Learning Software Frameworks
S. Bahrampour
Naveen Ramakrishnan
Lukas Schott
Mohak Shah
32
161
0
19 Nov 2015
All you need is a good init
All you need is a good init
Dmytro Mishkin
Jirí Matas
ODL
32
606
0
19 Nov 2015
Deep Manifold Traversal: Changing Labels with Convolutional Features
Deep Manifold Traversal: Changing Labels with Convolutional Features
Jacob R. Gardner
P. Upchurch
Matt J. Kusner
Yixuan Li
Kilian Q. Weinberger
Kavita Bala
John E. Hopcroft
34
66
0
19 Nov 2015
Training Deep Neural Networks via Direct Loss Minimization
Training Deep Neural Networks via Direct Loss Minimization
Yang Song
Alex Schwing
R. Zemel
R. Urtasun
27
101
0
19 Nov 2015
Why M Heads are Better than One: Training a Diverse Ensemble of Deep
  Networks
Why M Heads are Better than One: Training a Diverse Ensemble of Deep Networks
Stefan Lee
Senthil Purushwalkam
Michael Cogswell
David J. Crandall
Dhruv Batra
FedML
UQCV
22
311
0
19 Nov 2015
Foveation-based Mechanisms Alleviate Adversarial Examples
Foveation-based Mechanisms Alleviate Adversarial Examples
Yan Luo
Xavier Boix
Gemma Roig
T. Poggio
Qi Zhao
AAML
35
170
0
19 Nov 2015
Convolutional Clustering for Unsupervised Learning
Convolutional Clustering for Unsupervised Learning
Aysegül Dündar
Jonghoon Jin
Eugenio Culurciello
SSL
17
84
0
19 Nov 2015
Mediated Experts for Deep Convolutional Networks
Mediated Experts for Deep Convolutional Networks
Aykut Erdem
Winston H. Hsu
39
20
0
19 Nov 2015
Convolutional neural networks with low-rank regularization
Convolutional neural networks with low-rank regularization
Cheng Tai
Tong Xiao
Yi Zhang
Xiaogang Wang
E. Weinan
BDL
31
460
0
19 Nov 2015
SparkNet: Training Deep Networks in Spark
SparkNet: Training Deep Networks in Spark
Philipp Moritz
Robert Nishihara
Ion Stoica
Michael I. Jordan
36
169
0
19 Nov 2015
Active Object Localization with Deep Reinforcement Learning
Active Object Localization with Deep Reinforcement Learning
Juan C. Caicedo
Svetlana Lazebnik
ObjD
29
444
0
18 Nov 2015
Staleness-aware Async-SGD for Distributed Deep Learning
Staleness-aware Async-SGD for Distributed Deep Learning
Wei Zhang
Suyog Gupta
Xiangru Lian
Ji Liu
24
266
0
18 Nov 2015
Competitive Multi-scale Convolution
Competitive Multi-scale Convolution
Zhibin Liao
G. Carneiro
33
44
0
18 Nov 2015
Learning Structured Inference Neural Networks with Label Relations
Learning Structured Inference Neural Networks with Label Relations
Hexiang Hu
Guang-Tong Zhou
Zhiwei Deng
Zicheng Liao
Greg Mori
NAI
BDL
41
126
0
17 Nov 2015
Deep Compositional Captioning: Describing Novel Object Categories
  without Paired Training Data
Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data
Lisa Anne Hendricks
Subhashini Venugopalan
Marcus Rohrbach
Raymond J. Mooney
Kate Saenko
Trevor Darrell
CoGe
21
284
0
17 Nov 2015
Reduced-Precision Strategies for Bounded Memory in Deep Neural Nets
Reduced-Precision Strategies for Bounded Memory in Deep Neural Nets
Patrick Judd
Jorge Albericio
Tayler H. Hetherington
Tor M. Aamodt
Natalie D. Enright Jerger
R. Urtasun
Andreas Moshovos
32
100
0
17 Nov 2015
Diversity Networks: Neural Network Compression Using Determinantal Point
  Processes
Diversity Networks: Neural Network Compression Using Determinantal Point Processes
Zelda E. Mariet
S. Sra
30
129
0
16 Nov 2015
Learning Representations of Affect from Speech
Learning Representations of Affect from Speech
Sayan Ghosh
Eugene Laksana
Louis-Philippe Morency
Stefan Scherer
SSL
9
29
0
15 Nov 2015
Uncovering Temporal Context for Video Question and Answering
Uncovering Temporal Context for Video Question and Answering
Linchao Zhu
Zhongwen Xu
Yi Yang
Alexander G. Hauptmann
BDL
30
44
0
15 Nov 2015
DISC: Deep Image Saliency Computing via Progressive Representation
  Learning
DISC: Deep Image Saliency Computing via Progressive Representation Learning
Tianshui Chen
Liang Lin
Lingbo Liu
Xiaonan Luo
Xuelong Li
19
158
0
13 Nov 2015
Unsupervised Learning of Edges
Unsupervised Learning of Edges
Yin Li
Manohar Paluri
James M. Rehg
Piotr Dollár
SSL
21
91
0
13 Nov 2015
Natural Language Object Retrieval
Natural Language Object Retrieval
Ronghang Hu
Huazhe Xu
Marcus Rohrbach
Jiashi Feng
Kate Saenko
Trevor Darrell
ObjD
46
552
0
13 Nov 2015
UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and
  Tracking
UA-DETRAC: A New Benchmark and Protocol for Multi-Object Detection and Tracking
Longyin Wen
Dawei Du
Zhaowei Cai
Zhen Lei
Ming-Ching Chang
H. Qi
Jongwoo Lim
Ming-Hsuan Yang
Siwei Lyu
VOT
43
565
0
13 Nov 2015
Going Deeper in Facial Expression Recognition using Deep Neural Networks
Going Deeper in Facial Expression Recognition using Deep Neural Networks
A. Mollahosseini
David M. Chan
Mohammad H. Mahoor
24
850
0
12 Nov 2015
Representational Distance Learning for Deep Neural Networks
Representational Distance Learning for Deep Neural Networks
Patrick McClure
N. Kriegeskorte
27
48
0
12 Nov 2015
Feature Learning based Deep Supervised Hashing with Pairwise Labels
Feature Learning based Deep Supervised Hashing with Pairwise Labels
Wu-Jun Li
Sheng Wang
Wang-Cheng Kang
40
657
0
12 Nov 2015
ProNet: Learning to Propose Object-specific Boxes for Cascaded Neural
  Networks
ProNet: Learning to Propose Object-specific Boxes for Cascaded Neural Networks
Chen Sun
Manohar Paluri
R. Collobert
Ram Nevatia
Lubomir D. Bourdev
43
61
0
12 Nov 2015
Universum Prescription: Regularization using Unlabeled Data
Universum Prescription: Regularization using Unlabeled Data
Xiang Zhang
Yann LeCun
30
31
0
11 Nov 2015
Visual7W: Grounded Question Answering in Images
Visual7W: Grounded Question Answering in Images
Yuke Zhu
Oliver Groth
Michael S. Bernstein
Li Fei-Fei
44
877
0
11 Nov 2015
Attention to Scale: Scale-aware Semantic Image Segmentation
Attention to Scale: Scale-aware Semantic Image Segmentation
Liang-Chieh Chen
Yi Yang
Jiang Wang
Wei Xu
Alan Yuille
SSeg
54
1,316
0
10 Nov 2015
Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs
  and a Discriminatively Trained Domain Transform
Semantic Image Segmentation with Task-Specific Edge Detection Using CNNs and a Discriminatively Trained Domain Transform
Liang-Chieh Chen
Jonathan T. Barron
George Papandreou
Kevin Patrick Murphy
Alan Yuille
26
366
0
10 Nov 2015
Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer
Semantic Instance Annotation of Street Scenes by 3D to 2D Label Transfer
Jun Xie
Martin Kiefel
Ming-Ting Sun
Andreas Geiger
ISeg
36
169
0
10 Nov 2015
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