Novelty Recognition: Fish Species Classification via Open-Set Recognition
Novelty Recognition: Fish Species Classification via Open-Set Recognition
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Publisher
Switzerland: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Switzerland: MDPI AG
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Scope and Contents
Contents
To support the sustainable use of marine resources, regulations have been proposed to reduce fish discards focusing on the registration of all listed species. To comply with such regulations, computer vision methods have been developed. Nevertheless, current approaches are constrained by their closed-set nature, where they are designed only to reco...
Alternative Titles
Full title
Novelty Recognition: Fish Species Classification via Open-Set Recognition
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Author / Creator
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TN_cdi_doaj_primary_oai_doaj_org_article_451fab26c70b45c4bc0942a7abf237d1
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_451fab26c70b45c4bc0942a7abf237d1
Other Identifiers
ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s25051570
