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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 / 8,428 papers shown
Title
Synthesized Classifiers for Zero-Shot Learning
Synthesized Classifiers for Zero-Shot Learning
Soravit Changpinyo
Wei-Lun Chao
Boqing Gong
Fei Sha
71
734
0
02 Mar 2016
Cascaded Subpatch Networks for Effective CNNs
Cascaded Subpatch Networks for Effective CNNs
Xiaoheng Jiang
Yanwei Pang
Manli Sun
Xuelong Li
39
39
0
01 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
24
301
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
32
37
0
26 Feb 2016
Automatic Moth Detection from Trap Images for Pest Management
Automatic Moth Detection from Trap Images for Pest Management
Weiguang Ding
Graham W. Taylor
17
305
0
24 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
191
14,163
0
23 Feb 2016
A Survey of Semantic Segmentation
A Survey of Semantic Segmentation
Martin Thoma
SSeg
25
242
0
21 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
33
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
45
1,482
0
14 Feb 2016
Global Deconvolutional Networks for Semantic Segmentation
Global Deconvolutional Networks for Semantic Segmentation
Vladimir Nekrasov
Janghoon Ju
Jaesik Choi
SSeg
31
12
0
12 Feb 2016
Multifaceted Feature Visualization: Uncovering the Different Types of
  Features Learned By Each Neuron in Deep Neural Networks
Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks
Anh Totti Nguyen
J. Yosinski
Jeff Clune
28
324
0
11 Feb 2016
Learning Distributed Representations of Sentences from Unlabelled Data
Learning Distributed Representations of Sentences from Unlabelled Data
Felix Hill
Kyunghyun Cho
Anna Korhonen
SSL
46
571
0
10 Feb 2016
A Theory of Generative ConvNet
A Theory of Generative ConvNet
Jianwen Xie
Yang Lu
Song-Chun Zhu
Ying Nian Wu
DiffM
GAN
50
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
188
847
0
09 Feb 2016
Recognition of Visually Perceived Compositional Human Actions by
  Multiple Spatio-Temporal Scales Recurrent Neural Networks
Recognition of Visually Perceived Compositional Human Actions by Multiple Spatio-Temporal Scales Recurrent Neural Networks
Haanvid Lee
Minju Jung
Jun Tani
30
20
0
05 Feb 2016
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with
  One-Class Collaborative Filtering
Ups and Downs: Modeling the Visual Evolution of Fashion Trends with One-Class Collaborative Filtering
Ruining He
Julian McAuley
4
2,045
0
04 Feb 2016
Towards Better Exploiting Convolutional Neural Networks for Remote
  Sensing Scene Classification
Towards Better Exploiting Convolutional Neural Networks for Remote Sensing Scene Classification
Keiller Nogueira
O. A. B. Penatti
J. A. dos Santos
28
831
0
04 Feb 2016
Visual descriptors for content-based retrieval of remote sensing images
Visual descriptors for content-based retrieval of remote sensing images
Paolo Napoletano
25
116
0
02 Feb 2016
DehazeNet: An End-to-End System for Single Image Haze Removal
DehazeNet: An End-to-End System for Single Image Haze Removal
Bolun Cai
Xiangmin Xu
Kui Jia
Chunmei Qing
Dacheng Tao
119
2,412
0
28 Jan 2016
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
275
2,554
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
29
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
35
216
0
25 Jan 2016
PN-Net: Conjoined Triple Deep Network for Learning Local Image
  Descriptors
PN-Net: Conjoined Triple Deep Network for Learning Local Image Descriptors
Vassileios Balntas
Edward Johns
Lilian Tang
K. Mikolajczyk
20
172
0
19 Jan 2016
Multimodal Pivots for Image Caption Translation
Multimodal Pivots for Image Caption Translation
Julian Hitschler
Shigehiko Schamoni
Stefan Riezler
38
97
0
15 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
30
250
0
12 Jan 2016
Exploiting Local Structures with the Kronecker Layer in Convolutional
  Networks
Exploiting Local Structures with the Kronecker Layer in Convolutional Networks
Shuchang Zhou
Jia-Nan Wu
Yuxin Wu
Xinyu Zhou
27
40
0
31 Dec 2015
The Lovász Hinge: A Novel Convex Surrogate for Submodular Losses
The Lovász Hinge: A Novel Convex Surrogate for Submodular Losses
Jiaqian Yu
Matthew Blaschko
35
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
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
593
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
161
27,167
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
34
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
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