Conference item
Look, listen and learn
- Abstract:
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We consider the question: what can be learnt by looking at and listening to a large number of unlabelled videos? There is a valuable, but so far untapped, source of information contained in the video itself – the correspondence between the visual and the audio streams, and we introduce a novel “Audio-Visual Correspondence” learning task that makes use of this. Training visual and audio networks from scratch, without any additional supervision other than the raw unconstrained videos themselves...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
-
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(Accepted manuscript, pdf, 1.2MB)
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- Publisher copy:
- 10.1109/iccv.2017.73
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Authors
Bibliographic Details
- Publisher:
- IEEE Publisher's website
- Journal:
- 2017 IEEE International Conference on Computer Vision (ICCV) Journal website
- Host title:
- 2017 IEEE International Conference on Computer Vision (ICCV)
- Publication date:
- 2017-12-25
- Acceptance date:
- 2017-07-17
- Event location:
- Venice, Italy
- DOI:
- ISSN:
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1550-5499
- Source identifiers:
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829574
Item Description
- Pubs id:
-
pubs:829574
- UUID:
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uuid:1323c912-31b9-46b9-b120-32b8251dcb07
- Local pid:
- pubs:829574
- Deposit date:
- 2019-01-29
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2017
- Notes:
- © 2017 IEEE. This is the accepted manuscript version of the article. The final version is available online from IEEE at: 10.1109/ICCV.2017.73
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