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VAESim: A probabilistic approach for self-supervised prototype discovery.

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Title: VAESim: A probabilistic approach for self-supervised prototype discovery.
Authors: Ferrante, Matteo1, matteo.ferrante@uniroma2.it, Boccato, Tommaso1, Spasov, Simeon2, Duggento, Andrea1, Toschi, Nicola1,3
Source: Image & Vision Computing; Sep2023, Vol. 137, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 170044807
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.imavis.2023.104746
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      – Code: eng
        Text: English
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      – TitleFull: VAESim: A probabilistic approach for self-supervised prototype discovery.
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            NameFull: Ferrante, Matteo
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            NameFull: Boccato, Tommaso
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            NameFull: Spasov, Simeon
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            – D: 01
              M: 09
              Text: Sep2023
              Type: published
              Y: 2023
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              Value: 137
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