Rescaling egocentric vision: collection, pipeline and challenges for EPIC-KITCHENS-100

Rescaling egocentric vision: collection, pipeline and challenges for EPIC-KITCHENS-100

This paper introduces the pipeline to extend the largest dataset in egocentric vision, EPIC-KITCHENS. The effort culminates in EPIC-KITCHENS-100, a collection of 100 hours, 20M frames, 90K actions in 700 variable-length videos, capturing long-term unscripted activities in 45 environments, using head...

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Bibliographic Details
Main Authors: Damen, Dima, Doughty, Hazel, Farinella, Giovanni Maria, Furnari, Antonino, Kazakos, Evangelos, Ma, Jian, Moltisanti, Davide, Munro, Jonathan, Perrett, Toby, Price, Will, Wray, Michael
Other Authors: School of Computer Science and Engineering
Format: Journal Article
Language:English
Published: 2022
Subjects:
Engineering::Computer science and engineering
Video Dataset
Annotation Quality
Online Access:https://hdl.handle.net/10356/162036

Internet

https://hdl.handle.net/10356/162036

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