Conference item
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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- Files:
-
-
(Accepted manuscript, 4.0MB)
-
- Publisher copy:
- https://doi.org/10.1007/978-3-030-69544-6_18
Authors
Bibliographic Details
- Publisher:
- Springer Publisher's website
- 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
Item Description
- Language:
- English
- Keywords:
- Pubs id:
-
1148561
- Local pid:
- pubs:1148561
- Deposit date:
- 2020-12-11
Terms of use
- Copyright holder:
- Springer Nature
- Copyright date:
- 2021
- Rights statement:
- © Springer Nature Switzerland AG 2021.
- Notes:
- This paper was presented at the 15th Asian Conference on Computer Vision, 30 November–4 December 2020, Virtual, Kyoto. This is the accepted manuscript version of the article. The final version is available online from Springer at: https://doi.org/10.1007/978-3-030-69544-6_18
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