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Watch, read and lookup: learning to spot signs from multiple supervisors

Abstract:

The focus of this work is sign spotting—given a video of an isolated sign, our task is to identify whether and where it has been signed in a continuous, co-articulated sign language video. To achieve this sign spotting task, we train a model using multiple types of available supervision by: (1) watching existing sparsely labelled footage; (2) reading associated subtitles (readily available translations of the signed content) which provide additional weak-supervision; (3) looking up words (for...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
https://doi.org/10.1007/978-3-030-69544-6_18

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0003-1732-9198
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0002-8945-8573
Publisher:
Springer
Host title:
Computer Vision – ACCV 2020
Series:
Lecture Notes in Computer Science
Series number:
12627
Pages:
291-308
Publication date:
2021-02-26
Acceptance date:
2020-09-16
Event title:
15th Asian Conference on Computer Vision, 2020
Event location:
Virtual, Kyoto
Event website:
http://accv2020.kyoto/
Event start date:
2020-11-30
Event end date:
2020-12-04
DOI:
ISSN:
0302-9743
EISBN:
9783030695446
ISBN:
9783030695439
Language:
English
Keywords:
Pubs id:
1148561
Local pid:
pubs:1148561
Deposit date:
2020-12-11

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