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Fine-tuning 3D foundation models for geometric object retrieval

 
dc.contributor.authorVan den Herrewegen, Jarne
dc.contributor.authorTourwe, Tom
dc.contributor.authorOvsjanikov, Maks
dc.contributor.authorWyffels, Francis
dc.contributor.imecauthorWyffels, Francis
dc.contributor.orcidimecWyffels, Francis::0000-0002-5491-8349
dc.date.accessioned2025-03-24T13:41:31Z
dc.date.available2024-10-07T17:50:34Z
dc.date.available2025-03-24T13:41:31Z
dc.date.embargo2024-06-25
dc.date.issued2024
dc.description.wosFundingTextWe would like to thank Anthony Rathe and Axel Vlaminck for their suggestions regarding vision-language models. This work was supported by the Flemish Institute for Innovation and Entrepreneurship (VLAIO) , Belgium, grant number HBC.2022.0165.Parts of this work were supported by the ERC Consolidator Grant 101087347 (VEGA) and ANR AI Chair AIGRETTE, France.
dc.identifier.doi10.1016/j.cag.2024.103993
dc.identifier.issn0097-8493
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/44610
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD
dc.source.beginpageArt. 103993
dc.source.endpageN/A
dc.source.issueAugust
dc.source.journalCOMPUTERS & GRAPHICS-UK
dc.source.numberofpages10
dc.source.volume122
dc.subject.keywordsNEURAL-NETWORK
dc.title

Fine-tuning 3D foundation models for geometric object retrieval

dc.typeJournal article
dspace.entity.typePublication
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