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ImageNet Large Scale Visual Recognition Challenge
v1v2v3 (latest)

ImageNet Large Scale Visual Recognition Challenge

International Journal of Computer Vision (IJCV), 2014
1 September 2014
Olga Russakovsky
Gaowen Liu
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 / 12,900 papers shown
Title
Learning language through pictures
Learning language through picturesAnnual Meeting of the Association for Computational Linguistics (ACL), 2015
Grzegorz Chrupała
Ákos Kádár
Afra Alishahi
VLMSSL
193
66
0
11 Jun 2015
Constrained Convolutional Neural Networks for Weakly Supervised
  Segmentation
Constrained Convolutional Neural Networks for Weakly Supervised SegmentationIEEE International Conference on Computer Vision (ICCV), 2015
Deepak Pathak
Philipp Krahenbuhl
Trevor Darrell
SSeg
351
636
0
11 Jun 2015
Unveiling the Dreams of Word Embeddings: Towards Language-Driven Image
  Generation
Unveiling the Dreams of Word Embeddings: Towards Language-Driven Image Generation
Angeliki Lazaridou
T. Nguyen
Raffaella Bernardi
Marco Baroni
84
6
0
10 Jun 2015
LSUN: Construction of a Large-scale Image Dataset using Deep Learning
  with Humans in the Loop
LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop
Feng Yu
Ari Seff
Yinda Zhang
Shuran Song
Thomas Funkhouser
Jianxiong Xiao
316
2,506
0
10 Jun 2015
Permutation Search Methods are Efficient, Yet Faster Search is Possible
Permutation Search Methods are Efficient, Yet Faster Search is PossibleProceedings of the VLDB Endowment (PVLDB), 2015
Bilegsaikhan Naidan
Leonid Boytsov
Eric Nyberg
188
57
0
10 Jun 2015
Deep SimNets
Deep SimNetsComputer Vision and Pattern Recognition (CVPR), 2015
Nadav Cohen
Or Sharir
Amnon Shashua
162
46
0
09 Jun 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object DetectionComputer Vision and Pattern Recognition (CVPR), 2015
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
1.3K
41,694
0
08 Jun 2015
EventNet: A Large Scale Structured Concept Library for Complex Event
  Detection in Video
EventNet: A Large Scale Structured Concept Library for Complex Event Detection in VideoACM Multimedia (ACM MM), 2015
Guangnan Ye
Yitong Li
Hongliang Xu
Dong Liu
Shih-Fu Chang
125
120
0
08 Jun 2015
What's the Point: Semantic Segmentation with Point Supervision
What's the Point: Semantic Segmentation with Point SupervisionEuropean Conference on Computer Vision (ECCV), 2015
Amy Bearman
Olga Russakovsky
V. Ferrari
Li Fei-Fei
3DPC
359
1,053
0
06 Jun 2015
Spatial Transformer Networks
Spatial Transformer NetworksNeural Information Processing Systems (NeurIPS), 2015
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
1.3K
7,780
0
05 Jun 2015
Monocular SLAM Supported Object Recognition
Monocular SLAM Supported Object Recognition
Sudeep Pillai
J. Leonard
145
140
0
04 Jun 2015
Classification with many classes: challenges and pluses
Classification with many classes: challenges and pluses
F. Abramovich
Marianna Pensky
108
9
0
04 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2015
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMatObjD
1.3K
68,421
0
04 Jun 2015
Cyclical Learning Rates for Training Neural Networks
Cyclical Learning Rates for Training Neural NetworksIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2015
L. Smith
ODL
628
2,751
0
03 Jun 2015
Understanding deep features with computer-generated imagery
Understanding deep features with computer-generated imageryIEEE International Conference on Computer Vision (ICCV), 2015
Mathieu Aubry
Bryan C. Russell
158
151
0
03 Jun 2015
Visual Search at Pinterest
Visual Search at PinterestKnowledge Discovery and Data Mining (KDD), 2015
Yushi Jing
David C. Liu
Dmitry Kislyuk
Andrew Zhai
Jiajing Xu
Jeff Donahue
Sarah Tavel
VLM
195
151
0
28 May 2015
Training a Convolutional Neural Network for Appearance-Invariant Place
  Recognition
Training a Convolutional Neural Network for Appearance-Invariant Place Recognition
Ruben Gomez-Ojeda
Manuel López-Antequera
N. Petkov
Javier González Jiménez
81
72
0
27 May 2015
Texture Synthesis Using Convolutional Neural Networks
Texture Synthesis Using Convolutional Neural Networks
Leon A. Gatys
Alexander S. Ecker
Matthias Bethge
3DV
142
132
0
27 May 2015
Accelerating Very Deep Convolutional Networks for Classification and
  Detection
Accelerating Very Deep Convolutional Networks for Classification and DetectionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2015
Xinming Zhang
Jianhua Zou
Kaiming He
Jian Sun
222
823
0
26 May 2015
Object-Proposal Evaluation Protocol is 'Gameable'
Object-Proposal Evaluation Protocol is 'Gameable'Computer Vision and Pattern Recognition (CVPR), 2015
Neelima Chavali
Harsh Agrawal
Aroma Mahendru
Dhruv Batra
290
84
0
21 May 2015
GazeDPM: Early Integration of Gaze Information in Deformable Part Models
GazeDPM: Early Integration of Gaze Information in Deformable Part Models
I. Shcherbatyi
Andreas Bulling
Mario Fritz
126
10
0
21 May 2015
Are You Talking to a Machine? Dataset and Methods for Multilingual Image
  Question Answering
Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question AnsweringNeural Information Processing Systems (NeurIPS), 2015
Haoyuan Gao
Junhua Mao
Jie Zhou
Zhiheng Huang
Lei Wang
Wenyuan Xu
195
516
0
21 May 2015
DropSample: A New Training Method to Enhance Deep Convolutional Neural
  Networks for Large-Scale Unconstrained Handwritten Chinese Character
  Recognition
DropSample: A New Training Method to Enhance Deep Convolutional Neural Networks for Large-Scale Unconstrained Handwritten Chinese Character RecognitionPattern Recognition (PR), 2015
Weixin Yang
Lianwen Jin
Dacheng Tao
Zecheng Xie
Ziyong Feng
467
133
0
20 May 2015
Multi-scale recognition with DAG-CNNs
Multi-scale recognition with DAG-CNNsIEEE International Conference on Computer Vision (ICCV), 2015
Songfan Yang
Deva Ramanan
BDL
111
209
0
20 May 2015
Image Reconstruction from Bag-of-Visual-Words
Image Reconstruction from Bag-of-Visual-Words
Hiroharu Kato
Tatsuya Harada
181
85
0
19 May 2015
High Performance Offline Handwritten Chinese Character Recognition Using
  GoogLeNet and Directional Feature Maps
High Performance Offline Handwritten Chinese Character Recognition Using GoogLeNet and Directional Feature Maps
Zhuoyao Zhong
Lianwen Jin
Zecheng Xie
140
299
0
19 May 2015
Character-level Chinese Writer Identification using Path Signature
  Feature, DropStroke and Deep CNN
Character-level Chinese Writer Identification using Path Signature Feature, DropStroke and Deep CNN
Weixin Yang
Lianwen Jin
Manfei Liu
184
12
0
19 May 2015
Improving Image Classification with Location Context
Improving Image Classification with Location Context
K. Tang
Manohar Paluri
Li Fei-Fei
Rob Fergus
Lubomir D. Bourdev
SSL
143
127
0
14 May 2015
Training Deeper Convolutional Networks with Deep Supervision
Training Deeper Convolutional Networks with Deep Supervision
Liwei Wang
Chen-Yu Lee
Zhuowen Tu
Svetlana Lazebnik
120
211
0
11 May 2015
Exploring Models and Data for Image Question Answering
Exploring Models and Data for Image Question Answering
Mengye Ren
Ryan Kiros
R. Zemel
301
749
0
08 May 2015
Jointly Modeling Embedding and Translation to Bridge Video and Language
Jointly Modeling Embedding and Translation to Bridge Video and Language
Yingwei Pan
Tao Mei
Ting Yao
Houqiang Li
Y. Rui
175
543
0
07 May 2015
Language Models for Image Captioning: The Quirks and What Works
Language Models for Image Captioning: The Quirks and What Works
Jacob Devlin
Hao Cheng
Hao Fang
Saurabh Gupta
Li Deng
Xiaodong He
Geoffrey Zweig
Margaret Mitchell
229
287
0
07 May 2015
Learning to See by Moving
Learning to See by Moving
Pulkit Agrawal
João Carreira
Jitendra Malik
SSL
283
564
0
07 May 2015
Webly Supervised Learning of Convolutional Networks
Webly Supervised Learning of Convolutional Networks
Xinlei Chen
Abhinav Gupta
SSL
232
389
0
07 May 2015
A Deeper Look at Dataset Bias
A Deeper Look at Dataset Bias
Tatiana Tommasi
Novi Patricia
Barbara Caputo
Tinne Tuytelaars
209
343
0
06 May 2015
Ask Your Neurons: A Neural-based Approach to Answering Questions about
  Images
Ask Your Neurons: A Neural-based Approach to Answering Questions about Images
Mateusz Malinowski
Marcus Rohrbach
Mario Fritz
353
627
0
05 May 2015
Empirical Evaluation of Rectified Activations in Convolutional Network
Empirical Evaluation of Rectified Activations in Convolutional Network
Bing Xu
Naiyan Wang
Tianqi Chen
Mu Li
267
3,092
0
05 May 2015
Unsupervised Learning of Visual Representations using Videos
Unsupervised Learning of Visual Representations using Videos
Xinyu Wang
Abhinav Gupta
SSL
227
231
0
04 May 2015
Sequence to Sequence -- Video to Text
Sequence to Sequence -- Video to Text
Subhashini Venugopalan
Marcus Rohrbach
Jeff Donahue
Raymond J. Mooney
Trevor Darrell
Kate Saenko
340
1,464
0
03 May 2015
Multi-Object Classification and Unsupervised Scene Understanding Using
  Deep Learning Features and Latent Tree Probabilistic Models
Multi-Object Classification and Unsupervised Scene Understanding Using Deep Learning Features and Latent Tree Probabilistic Models
Tejaswi Nimmagadda
Anima Anandkumar
OCL
85
9
0
02 May 2015
Object-Scene Convolutional Neural Networks for Event Recognition in
  Images
Object-Scene Convolutional Neural Networks for Event Recognition in Images
Limin Wang
Zhe Wang
Wenbin Du
Yu Qiao
146
69
0
02 May 2015
PerforatedCNNs: Acceleration through Elimination of Redundant
  Convolutions
PerforatedCNNs: Acceleration through Elimination of Redundant Convolutions
Mikhail Figurnov
Aizhan Ibraimova
Dmitry Vetrov
Pushmeet Kohli
151
140
0
30 Apr 2015
Deep Neural Networks with Random Gaussian Weights: A Universal
  Classification Strategy?
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?
Raja Giryes
Guillermo Sapiro
A. Bronstein
424
188
0
30 Apr 2015
Anticipating Visual Representations from Unlabeled Video
Anticipating Visual Representations from Unlabeled Video
Carl Vondrick
Hamed Pirsiavash
Antonio Torralba
177
146
0
29 Apr 2015
Bilinear CNNs for Fine-grained Visual Recognition
Bilinear CNNs for Fine-grained Visual Recognition
Tsung-Yu Lin
Aruni RoyChowdhury
Subhransu Maji
604
1,984
0
29 Apr 2015
Becoming the Expert - Interactive Multi-Class Machine Teaching
Becoming the Expert - Interactive Multi-Class Machine Teaching
Edward Johns
Oisin Mac Aodha
Gabriel J. Brostow
157
75
0
28 Apr 2015
Speeding Up Neural Networks for Large Scale Classification using WTA
  Hashing
Speeding Up Neural Networks for Large Scale Classification using WTA Hashing
Amir-Hossein Bakhtiary
Àgata Lapedriza
David Masip
100
10
0
28 Apr 2015
Cascaded Sparse Spatial Bins for Efficient and Effective Generic Object
  Detection
Cascaded Sparse Spatial Bins for Efficient and Effective Generic Object Detection
David Novotny
Jirí Matas
139
8
0
27 Apr 2015
Learning like a Child: Fast Novel Visual Concept Learning from Sentence
  Descriptions of Images
Learning like a Child: Fast Novel Visual Concept Learning from Sentence Descriptions of Images
Junhua Mao
Xu Wei
Yi Yang
Jiang Wang
Zhiheng Huang
Alan Yuille
154
160
0
25 Apr 2015
Situational Object Boundary Detection
Situational Object Boundary Detection
J. Uijlings
V. Ferrari
120
30
0
24 Apr 2015
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