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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 / 6,499 papers shown
Title
Deep Cross Residual Learning for Multitask Visual Recognition
Deep Cross Residual Learning for Multitask Visual Recognition
Brendan Jou
Shih-Fu Chang
ObjD
21
91
0
05 Apr 2016
Deep Image Retrieval: Learning global representations for image search
Deep Image Retrieval: Learning global representations for image search
Albert Gordo
Jon Almazán
Jérôme Revaud
Diane Larlus
21
801
0
05 Apr 2016
Layer-wise Relevance Propagation for Neural Networks with Local
  Renormalization Layers
Layer-wise Relevance Propagation for Neural Networks with Local Renormalization Layers
Alexander Binder
G. Montavon
Sebastian Lapuschkin
K. Müller
Wojciech Samek
FAtt
12
452
0
04 Apr 2016
Good Practice in CNN Feature Transfer
Good Practice in CNN Feature Transfer
Liang Zheng
Yali Zhao
Shengjin Wang
Jingdong Wang
Q. Tian
30
160
0
01 Apr 2016
Modeling Visual Compatibility through Hierarchical Mid-level Elements
Modeling Visual Compatibility through Hierarchical Mid-level Elements
José Oramas
Tinne Tuytelaars
6
21
0
31 Mar 2016
Rich Image Captioning in the Wild
Rich Image Captioning in the Wild
Kenneth Tran
Xiaodong He
Lei Zhang
Jian Sun
Cornelia Carapcea
Chris Thrasher
Chris Buehler
Chris Sienkiewicz
VLM
17
123
0
30 Mar 2016
Shuffle and Learn: Unsupervised Learning using Temporal Order
  Verification
Shuffle and Learn: Unsupervised Learning using Temporal Order Verification
Ishan Misra
C. L. Zitnick
M. Hebert
SSL
20
66
0
28 Mar 2016
Human Pose Estimation using Deep Consensus Voting
Human Pose Estimation using Deep Consensus Voting
Ita Lifshitz
Ethan Fetaya
S. Ullman
3DH
17
158
0
27 Mar 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
11
10,156
0
27 Mar 2016
How useful is photo-realistic rendering for visual learning?
How useful is photo-realistic rendering for visual learning?
Yair Movshovitz-Attias
T. Kanade
Yaser Sheikh
3DH
3DV
22
152
0
26 Mar 2016
Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization
  Using a Large Scale Radiology Image Database
Unsupervised Category Discovery via Looped Deep Pseudo-Task Optimization Using a Large Scale Radiology Image Database
Xiaosong Wang
Le Lu
Hoo-Chang Shin
Lauren Kim
Isabella Nogues
Jianhua Yao
Ronald M. Summers
14
16
0
25 Mar 2016
Deep Extreme Feature Extraction: New MVA Method for Searching Particles
  in High Energy Physics
Deep Extreme Feature Extraction: New MVA Method for Searching Particles in High Energy Physics
Chao Ma
Tianchenghou
Bin Lan
Jinhui Xu
Zhenhua Zhang
14
0
0
24 Mar 2016
Pixel-Level Domain Transfer
Pixel-Level Domain Transfer
Donggeun Yoo
Namil Kim
Sunggyun Park
Anthony S. Paek
In So Kweon
GAN
9
315
0
24 Mar 2016
Learning Representations for Automatic Colorization
Learning Representations for Automatic Colorization
Gustav Larsson
Michael Maire
Gregory Shakhnarovich
VLM
SSL
14
1,009
0
22 Mar 2016
Towards Automatic Wild Animal Monitoring: Identification of Animal
  Species in Camera-trap Images using Very Deep Convolutional Neural Networks
Towards Automatic Wild Animal Monitoring: Identification of Animal Species in Camera-trap Images using Very Deep Convolutional Neural Networks
Alex Gomez-Villa
Augusto Salazar
J. Vargas-Bonilla
18
299
0
20 Mar 2016
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image
  Segmentation
Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation
Alexander Kolesnikov
Christoph H. Lampert
SSeg
24
742
0
19 Mar 2016
Generative Image Modeling using Style and Structure Adversarial Networks
Generative Image Modeling using Style and Structure Adversarial Networks
X. Wang
Abhinav Gupta
GAN
20
617
0
17 Mar 2016
Learning Typographic Style
Learning Typographic Style
S. Baluja
14
15
0
13 Mar 2016
Single Image Restoration for Participating Media Based on Prior Fusion
Single Image Restoration for Participating Media Based on Prior Fusion
J. O. Gaya
F. Moraes
Amanda C. Duarte
Paulo L. J. Drews-Jr
S. Botelho
8
9
0
06 Mar 2016
Network Morphism
Network Morphism
Tao Wei
Changhu Wang
Y. Rui
C. L. P. Chen
21
176
0
05 Mar 2016
Learning Physical Intuition of Block Towers by Example
Learning Physical Intuition of Block Towers by Example
Adam Lerer
Sam Gross
Rob Fergus
PINN
11
298
0
03 Mar 2016
MOT16: A Benchmark for Multi-Object Tracking
MOT16: A Benchmark for Multi-Object Tracking
Anton Milan
Laura Leal-Taixe
Ian Reid
Stefan Roth
Konrad Schindler
VOT
30
1,775
0
02 Mar 2016
Seq-NMS for Video Object Detection
Seq-NMS for Video Object Detection
Wei Han
Pooya Khorrami
T. Paine
Prajit Ramachandran
Mohammad Babaeizadeh
Humphrey Shi
Jianan Li
Shuicheng Yan
Thomas S. Huang
22
300
0
26 Feb 2016
We don't need no bounding-boxes: Training object class detectors using
  only human verification
We don't need no bounding-boxes: Training object class detectors using only human verification
Dim P. Papadopoulos
J. Uijlings
Frank Keller
V. Ferrari
VLM
ObjD
26
138
0
26 Feb 2016
DeepSpark: A Spark-Based Distributed Deep Learning Framework for
  Commodity Clusters
DeepSpark: A Spark-Based Distributed Deep Learning Framework for Commodity Clusters
Hanjoo Kim
Jaehong Park
Jaehee Jang
Sungroh Yoon
BDL
24
37
0
26 Feb 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on
  Learning
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Christian Szegedy
Sergey Ioffe
Vincent Vanhoucke
Alexander A. Alemi
13
14,133
0
23 Feb 2016
On the Use of Deep Learning for Blind Image Quality Assessment
On the Use of Deep Learning for Blind Image Quality Assessment
Simone Bianco
Luigi Celona
Paolo Napoletano
Raimondo Schettini
VLM
11
336
0
17 Feb 2016
Unsupervised Domain Adaptation with Residual Transfer Networks
Unsupervised Domain Adaptation with Residual Transfer Networks
Mingsheng Long
Hanjing Zhu
Jianmin Wang
Michael I. Jordan
OOD
25
1,479
0
14 Feb 2016
A Theory of Generative ConvNet
A Theory of Generative ConvNet
Jianwen Xie
Yang Lu
Song-Chun Zhu
Ying Nian Wu
DiffM
GAN
13
318
0
10 Feb 2016
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic
  Videos
EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos
A. P. Twinanda
S. Shehata
Didier Mutter
J. Marescaux
M. de Mathelin
N. Padoy
170
840
0
09 Feb 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
230
2,545
0
25 Jan 2016
Relief R-CNN : Utilizing Convolutional Features for Fast Object
  Detection
Relief R-CNN : Utilizing Convolutional Features for Fast Object Detection
Guiying Li
Junlong Liu
Chunhui Jiang
Liangpeng Zhang
Minlong Lin
Ke Tang
ObjD
21
7
0
25 Jan 2016
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
Suraj Srinivas
Ravi Kiran Sarvadevabhatla
Konda Reddy Mopuri
N. Prabhu
S. Kruthiventi
R. Venkatesh Babu
OOD
20
215
0
25 Jan 2016
Using Filter Banks in Convolutional Neural Networks for Texture
  Classification
Using Filter Banks in Convolutional Neural Networks for Texture Classification
Vincent Andrearczyk
P. Whelan
3DV
14
250
0
12 Jan 2016
The Lovász Hinge: A Novel Convex Surrogate for Submodular Losses
The Lovász Hinge: A Novel Convex Surrogate for Submodular Losses
Jiaqian Yu
Matthew Blaschko
13
38
0
24 Dec 2015
Adaptive Object Detection Using Adjacency and Zoom Prediction
Adaptive Object Detection Using Adjacency and Zoom Prediction
Y. Lu
T. Javidi
Svetlana Lazebnik
ObjD
26
75
0
24 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
27
1,204
0
14 Dec 2015
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
X. Zhang
Shaoqing Ren
Jian-jun Sun
MedIm
34
191,084
0
10 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
13
27,066
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
19
198
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
34
1,159
0
24 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
16
138
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
19
609
0
22 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
19
14
0
21 Nov 2015
All you need is a good init
All you need is a good init
Dmytro Mishkin
Jirí Matas
ODL
19
603
0
19 Nov 2015
Training Deep Neural Networks via Direct Loss Minimization
Training Deep Neural Networks via Direct Loss Minimization
Yang Song
A. Schwing
R. Zemel
R. Urtasun
19
100
0
19 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
33
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
14
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
16
100
0
17 Nov 2015
Unsupervised Learning of Edges
Unsupervised Learning of Edges
Yin Li
Manohar Paluri
James M. Rehg
Piotr Dollár
SSL
19
91
0
13 Nov 2015
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