Journal article
AutoNovel: automatically discovering and learning novel visual categories
- Abstract:
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We tackle the problem of discovering novel classes in an image collection given labelled examples of other classes. We present a new approach called AutoNovel to address this problem by combining three ideas: (1) we suggest that the common approach of bootstrapping an image representation using the labeled data only introduces an unwanted bias, and that this can be avoided by using self-supervised learning to train the representation from scratch on the union of labelled and unlabelled data; ...
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- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Accepted manuscript, 5.3MB)
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- Publisher copy:
- 10.1109/tpami.2021.3091944
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Authors
Funding
Bibliographic Details
- Publisher:
- IEEE Publisher's website
- Journal:
- IEEE Transactions on Pattern Analysis and Machine Intelligence Journal website
- Publication date:
- 2021-06-24
- Acceptance date:
- 2021-06-13
- DOI:
- EISSN:
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1939-3539
- ISSN:
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0162-8828
- Pmid:
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34166184
Item Description
- Language:
- English
- Keywords:
- Pubs id:
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1184922
- Local pid:
- pubs:1184922
- Deposit date:
- 2021-08-10
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2021
- Rights statement:
- © 2021 IEEE
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