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dc.contributor.authorErsoy, Asım
dc.contributor.authorYıldız, Olcay Taner
dc.contributor.authorÖzer, Sedat
dc.date.accessioned2023-11-06T10:59:09Z
dc.date.available2023-11-06T10:59:09Z
dc.date.issued2023
dc.identifier.isbn979-835034355-7
dc.identifier.urihttp://hdl.handle.net/10679/8934
dc.identifier.urihttps://ieeexplore.ieee.org/document/10223956
dc.description.abstractRecent transformers-based systems are advancing image captioning applications. However, those works have been mainly applied to English-based image captioning problems. In this paper, we introduce a transformers-based Turkish-based image captioning algorithm. Our proposed algorithm uses appearance and geometry features from the input image and combines them along with the WordPiece embeddings to generate the Turkish-based caption. Our experimental results show improvement when compared to the other existing techniques including the original ORT and the show-and-tell algorithms.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.relation.ispartof2023 31st Signal Processing and Communications Applications Conference (SIU)
dc.rightsrestrictedAccess
dc.titleORTPiece: An ORT-based Turkish image captioning network based on transformers and WordPieceen_US
dc.typeConference paperen_US
dc.publicationstatusPublisheden_US
dc.contributor.departmentÖzyeğin University
dc.contributor.authorID(ORCID 0000-0001-5838-4615 & YÖK ID 19848) Yıldız, Olcay Taner
dc.contributor.authorID(ORCID 0000-0002-2069-3807 & YÖK ID 386309) Özer, Sedat
dc.contributor.ozuauthorYıldız, Olcay Taner
dc.contributor.ozuauthorÖzer, Sedat
dc.identifier.wosWOS:001062571000182
dc.identifier.doi10.1109/SIU59756.2023.10223956en_US
dc.subject.keywordsObject Relation Transformeren_US
dc.subject.keywordsTransformeren_US
dc.subject.keywordsTurkish Image captioningen_US
dc.subject.keywordsWordPiece Tokenizationen_US
dc.identifier.scopusSCOPUS:2-s2.0-85173541605
dc.contributor.ozugradstudentErsoy, Asım
dc.relation.publicationcategoryConference Paper - International - Institutional Academic Staff and Graduate Student


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