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Scaling Egocentric Vision: The EPIC-KITCHENS Dataset

Scaling Egocentric Vision: The EPIC-KITCHENS Dataset

8 April 2018
Dima Damen
Hazel Doughty
G. Farinella
Sanja Fidler
Antonino Furnari
Evangelos Kazakos
Davide Moltisanti
Jonathan Munro
Toby Perrett
Will Price
Michael Wray
    EgoV
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Papers citing "Scaling Egocentric Vision: The EPIC-KITCHENS Dataset"

10 / 60 papers shown
Title
Every Moment Counts: Dense Detailed Labeling of Actions in Complex
  Videos
Every Moment Counts: Dense Detailed Labeling of Actions in Complex Videos
Serena Yeung
Olga Russakovsky
Ning Jin
Mykhaylo Andriluka
Greg Mori
Li Fei-Fei
VLM
79
438
0
21 Jul 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
423
61,900
0
04 Jun 2015
VQA: Visual Question Answering
VQA: Visual Question Answering
Aishwarya Agrawal
Jiasen Lu
Stanislaw Antol
Margaret Mitchell
C. L. Zitnick
Dhruv Batra
Devi Parikh
CoGe
162
5,421
0
03 May 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
376
43,154
0
11 Feb 2015
A Dataset for Movie Description
A Dataset for Movie Description
Anna Rohrbach
Marcus Rohrbach
Niket Tandon
Bernt Schiele
VGen
92
499
0
12 Jan 2015
Deep Visual-Semantic Alignments for Generating Image Descriptions
Deep Visual-Semantic Alignments for Generating Image Descriptions
A. Karpathy
Li Fei-Fei
72
5,569
0
07 Dec 2014
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
361
43,511
0
17 Sep 2014
Two-Stream Convolutional Networks for Action Recognition in Videos
Two-Stream Convolutional Networks for Action Recognition in Videos
Karen Simonyan
Andrew Zisserman
231
7,518
0
09 Jun 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
330
43,290
0
01 May 2014
Efficient Estimation of Word Representations in Vector Space
Efficient Estimation of Word Representations in Vector Space
Tomas Mikolov
Kai Chen
G. Corrado
J. Dean
3DV
581
31,406
0
16 Jan 2013
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