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Conference Paper: Open-Set Recognition: A Good Closed-Set Classifier is All You Need?

TitleOpen-Set Recognition: A Good Closed-Set Classifier is All You Need?
Authors
Vaze, SHan, KVedaldi, AZisserman, A
Issue Date2022
Citation
International Conference on Learning Representations (ICLR) How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/320136

 

DC FieldValueLanguage
dc.contributor.authorVaze, S-
dc.contributor.authorHan, K-
dc.contributor.authorVedaldi, A-
dc.contributor.authorZisserman, A-
dc.date.accessioned2022-10-21T07:47:38Z-
dc.date.available2022-10-21T07:47:38Z-
dc.date.issued2022-
dc.identifier.citationInternational Conference on Learning Representations (ICLR)-
dc.identifier.urihttp://hdl.handle.net/10722/320136-
dc.languageeng-
dc.relation.ispartofInternational Conference on Learning Representations (ICLR)-
dc.titleOpen-Set Recognition: A Good Closed-Set Classifier is All You Need?-
dc.typeConference_Paper-
dc.identifier.emailHan, K: kaihanx@hku.hk-
dc.identifier.authorityHan, K=rp02921-
dc.identifier.hkuros340294-

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