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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 / 11,131 papers shown
Title
Semantic Regularisation for Recurrent Image Annotation
Semantic Regularisation for Recurrent Image Annotation
Feng Liu
Tao Xiang
Timothy M. Hospedales
Wankou Yang
Changyin Sun
109
104
0
16 Nov 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
741
10,396
0
16 Nov 2016
Lip Reading Sentences in the Wild
Lip Reading Sentences in the Wild
Joon Son Chung
A. Senior
Oriol Vinyals
Andrew Zisserman
359
803
0
16 Nov 2016
Backtracking Spatial Pyramid Pooling (SPP)-based Image Classifier for
  Weakly Supervised Top-down Salient Object Detection
Backtracking Spatial Pyramid Pooling (SPP)-based Image Classifier for Weakly Supervised Top-down Salient Object Detection
Hisham Cholakkal
Jubin Johnson
D. Rajan
77
15
0
16 Nov 2016
Unsupervised Learning of Important Objects from First-Person Videos
Unsupervised Learning of Important Objects from First-Person Videos
Gedas Bertasius
H. Park
Stella X. Yu
Jianbo Shi
EgoV
70
25
0
16 Nov 2016
A Semi-supervised Framework for Image Captioning
A Semi-supervised Framework for Image Captioning
Wenhu Chen
Aurelien Lucchi
Thomas Hofmann
105
9
0
16 Nov 2016
DeMeshNet: Blind Face Inpainting for Deep MeshFace Verification
DeMeshNet: Blind Face Inpainting for Deep MeshFace Verification
Shu Zhang
Ran He
Tieniu Tan
CVBM3DH
95
73
0
16 Nov 2016
Will People Like Your Image? Learning the Aesthetic Space
Will People Like Your Image? Learning the Aesthetic Space
Katharina Schwarz
P. Wieschollek
Hendrik P. A. Lensch
89
49
0
16 Nov 2016
One-Shot Video Object Segmentation
One-Shot Video Object Segmentation
Sergi Caelles
Kevis-Kokitsi Maninis
Jordi Pont-Tuset
Laura Leal-Taixé
Zorah Lähner
Luc Van Gool
VOS
131
920
0
16 Nov 2016
Training Spiking Deep Networks for Neuromorphic Hardware
Training Spiking Deep Networks for Neuromorphic Hardware
Eric Hunsberger
C. Eliasmith
82
133
0
16 Nov 2016
Learning a Deep Embedding Model for Zero-Shot Learning
Learning a Deep Embedding Model for Zero-Shot Learning
Li Zhang
Tao Xiang
S. Gong
SyDaVLM
188
706
0
15 Nov 2016
How to scale distributed deep learning?
How to scale distributed deep learning?
Peter H. Jin
Qiaochu Yuan
F. Iandola
Kurt Keutzer
3DH
97
137
0
14 Nov 2016
Character-level Convolutional Network for Text Classification Applied to
  Chinese Corpus
Character-level Convolutional Network for Text Classification Applied to Chinese Corpus
Weijie Huang
Jun Wang
AI4CE
48
24
0
14 Nov 2016
Convolutional Regression for Visual Tracking
Convolutional Regression for Visual Tracking
Kai Chen
Wenbing Tao
74
50
0
14 Nov 2016
When Fashion Meets Big Data: Discriminative Mining of Best Selling
  Clothing Features
When Fashion Meets Big Data: Discriminative Mining of Best Selling Clothing Features
Kuan-Ting Chen
Jiebo Luo
82
30
0
11 Nov 2016
Deep Convolutional Neural Network for Inverse Problems in Imaging
Deep Convolutional Neural Network for Inverse Problems in Imaging
Kyong Hwan Jin
Michael T. McCann
Emmanuel Froustey
M. Unser
78
2,137
0
11 Nov 2016
Understanding deep learning requires rethinking generalization
Understanding deep learning requires rethinking generalization
Chiyuan Zhang
Samy Bengio
Moritz Hardt
Benjamin Recht
Oriol Vinyals
HAI
397
4,659
0
10 Nov 2016
Ultimate tensorization: compressing convolutional and FC layers alike
Ultimate tensorization: compressing convolutional and FC layers alike
T. Garipov
D. Podoprikhin
Alexander Novikov
Dmitry Vetrov
94
191
0
10 Nov 2016
Low Data Drug Discovery with One-shot Learning
Low Data Drug Discovery with One-shot Learning
Han Altae-Tran
Bharath Ramsundar
Aneesh S. Pappu
Vijay S. Pande
142
694
0
10 Nov 2016
Deep Convolutional Neural Network for 6-DOF Image Localization
Deep Convolutional Neural Network for 6-DOF Image Localization
Daoyuan Jia
Yongchi Su
Chunping Li
3DPC
47
8
0
08 Nov 2016
Delving into Transferable Adversarial Examples and Black-box Attacks
Delving into Transferable Adversarial Examples and Black-box Attacks
Yanpei Liu
Xinyun Chen
Chang-rui Liu
Basel Alomair
AAML
317
1,747
0
08 Nov 2016
Unsupervised Pretraining for Sequence to Sequence Learning
Unsupervised Pretraining for Sequence to Sequence Learning
Prajit Ramachandran
Peter J. Liu
Quoc V. Le
SSLAIMat
158
283
0
08 Nov 2016
Gradients of Counterfactuals
Gradients of Counterfactuals
Mukund Sundararajan
Ankur Taly
Qiqi Yan
FAtt
113
104
0
08 Nov 2016
Sigma Delta Quantized Networks
Sigma Delta Quantized Networks
Peter O'Connor
Max Welling
94
49
0
07 Nov 2016
Fixed-point Factorized Networks
Fixed-point Factorized Networks
Peisong Wang
Jian Cheng
MQ
91
43
0
07 Nov 2016
Regularizing CNNs with Locally Constrained Decorrelations
Regularizing CNNs with Locally Constrained Decorrelations
Pau Rodríguez López
Jordi Gonzalez
Guillem Cucurull
J. M. Gonfaus
F. X. Roca
102
133
0
07 Nov 2016
Beyond Fine Tuning: A Modular Approach to Learning on Small Data
Beyond Fine Tuning: A Modular Approach to Learning on Small Data
Ark Anderson
Kyle Shaffer
A. Yankov
Court D. Corley
Nathan Oken Hodas
52
15
0
06 Nov 2016
Boosting Image Captioning with Attributes
Boosting Image Captioning with Attributes
Ting Yao
Yingwei Pan
Yehao Li
Zhaofan Qiu
Tao Mei
VLM
144
626
0
05 Nov 2016
UMDFaces: An Annotated Face Dataset for Training Deep Networks
UMDFaces: An Annotated Face Dataset for Training Deep Networks
Ankan Bansal
Anirudh Nanduri
Carlos D. Castillo
Rajeev Ranjan
Rama Chellappa
CVBM3DH
116
217
0
04 Nov 2016
RenderGAN: Generating Realistic Labeled Data
RenderGAN: Generating Realistic Labeled Data
Leon Sixt
Benjamin Wild
Tim Landgraf
GAN
271
178
0
04 Nov 2016
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
619
3,156
0
04 Nov 2016
Optical Flow Estimation using a Spatial Pyramid Network
Optical Flow Estimation using a Spatial Pyramid Network
Anurag Ranjan
Michael J. Black
3DPC
145
1,228
0
03 Nov 2016
Learning Deep Embeddings with Histogram Loss
Learning Deep Embeddings with Histogram Loss
E. Ustinova
Victor Lempitsky
134
351
0
02 Nov 2016
Conditional Image Synthesis With Auxiliary Classifier GANs
Conditional Image Synthesis With Auxiliary Classifier GANs
Augustus Odena
C. Olah
Jonathon Shlens
GAN
610
3,239
0
30 Oct 2016
SoundNet: Learning Sound Representations from Unlabeled Video
SoundNet: Learning Sound Representations from Unlabeled Video
Y. Aytar
Carl Vondrick
Antonio Torralba
SSL
220
1,044
0
27 Oct 2016
Single- and Multi-Task Architectures for Tool Presence Detection
  Challenge at M2CAI 2016
Single- and Multi-Task Architectures for Tool Presence Detection Challenge at M2CAI 2016
A. P. Twinanda
Didier Mutter
J. Marescaux
M. de Mathelin
N. Padoy
76
23
0
27 Oct 2016
Single- and Multi-Task Architectures for Surgical Workflow Challenge at
  M2CAI 2016
Single- and Multi-Task Architectures for Surgical Workflow Challenge at M2CAI 2016
A. P. Twinanda
Didier Mutter
J. Marescaux
M. de Mathelin
N. Padoy
93
44
0
27 Oct 2016
Universal adversarial perturbations
Universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
Omar Fawzi
P. Frossard
AAML
398
2,540
0
26 Oct 2016
Word Embeddings and Their Use In Sentence Classification Tasks
Word Embeddings and Their Use In Sentence Classification Tasks
Amit Mandelbaum
Adi Shalev
67
80
0
26 Oct 2016
End-to-end Learning of Deep Visual Representations for Image Retrieval
End-to-end Learning of Deep Visual Representations for Image Retrieval
Albert Gordo
Jon Almazán
Jérôme Revaud
Diane Larlus
VLM
106
543
0
25 Oct 2016
Deep image mining for diabetic retinopathy screening
Deep image mining for diabetic retinopathy screening
G. Quellec
K. Charrière
Yassine Boudi
B. Cochener
M. Lamard
MedIm
218
420
0
22 Oct 2016
Enhanced Object Detection via Fusion With Prior Beliefs from Image
  Classification
Enhanced Object Detection via Fusion With Prior Beliefs from Image Classification
Yilun Cao
Hyungtae Lee
H. Kwon
39
8
0
21 Oct 2016
Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of
  Convolutional Neural Networks Approaches
Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of Convolutional Neural Networks Approaches
E. Rodner
Marcel Simon
Robert B. Fisher
Joachim Denzler
89
40
0
21 Oct 2016
Revisiting Classifier Two-Sample Tests
Revisiting Classifier Two-Sample Tests
David Lopez-Paz
Maxime Oquab
253
408
0
20 Oct 2016
Spatio-Temporal Attention Models for Grounded Video Captioning
Spatio-Temporal Attention Models for Grounded Video Captioning
M. Zanfir
Elisabeta Marinoiu
C. Sminchisescu
134
50
0
17 Oct 2016
Assessing Threat of Adversarial Examples on Deep Neural Networks
Assessing Threat of Adversarial Examples on Deep Neural Networks
Abigail Graese
Andras Rozsa
Terrance E. Boult
AAML
106
57
0
13 Oct 2016
Multi-Task Curriculum Transfer Deep Learning of Clothing Attributes
Multi-Task Curriculum Transfer Deep Learning of Clothing Attributes
Qi Dong
S. Gong
Xiatian Zhu
140
87
0
12 Oct 2016
Optimizing Memory Efficiency for Deep Convolutional Neural Networks on
  GPUs
Optimizing Memory Efficiency for Deep Convolutional Neural Networks on GPUs
Chong Li
Yi Yang
Min Feng
S. Chakradhar
Huiyang Zhou
69
101
0
12 Oct 2016
From phonemes to images: levels of representation in a recurrent neural
  model of visually-grounded language learning
From phonemes to images: levels of representation in a recurrent neural model of visually-grounded language learning
Lieke Gelderloos
Grzegorz Chrupała
83
31
0
11 Oct 2016
Multiple Instance Learning Convolutional Neural Networks for Object
  Recognition
Multiple Instance Learning Convolutional Neural Networks for Object Recognition
Miao Sun
T. Han
Ming-Chang Liu
Ahmad Khodayari-Rostamabad
SSL
83
46
0
11 Oct 2016
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