Publication:
ORTPiece: An ORT-based Turkish image captioning network based on transformers and WordPiece

dc.contributor.authorErsoy, Asım
dc.contributor.authorYıldız, Olcay Taner
dc.contributor.authorÖzer, Sedat
dc.contributor.departmentComputer Science
dc.contributor.ozuauthorYILDIZ, Olcay Taner
dc.contributor.ozuauthorÖZER, Sedat
dc.contributor.ozugradstudentErsoy, Asım
dc.date.accessioned2023-11-06T10:59:09Z
dc.date.available2023-11-06T10:59:09Z
dc.date.issued2023
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.identifier.doi10.1109/SIU59756.2023.10223956en_US
dc.identifier.isbn979-835034355-7
dc.identifier.scopus2-s2.0-85173541605
dc.identifier.urihttp://hdl.handle.net/10679/8934
dc.identifier.urihttps://doi.org/10.1109/SIU59756.2023.10223956
dc.identifier.wos001062571000182
dc.language.isoengen_US
dc.publicationstatusPublisheden_US
dc.publisherIEEEen_US
dc.relation.ispartof2023 31st Signal Processing and Communications Applications Conference (SIU)
dc.relation.publicationcategoryInternational
dc.rightsrestrictedAccess
dc.subject.keywordsObject Relation Transformeren_US
dc.subject.keywordsTransformeren_US
dc.subject.keywordsTurkish Image captioningen_US
dc.subject.keywordsWordPiece Tokenizationen_US
dc.titleORTPiece: An ORT-based Turkish image captioning network based on transformers and WordPieceen_US
dc.typeconferenceObjecten_US
dspace.entity.typePublication
relation.isOrgUnitOfPublication85662e71-2a61-492a-b407-df4d38ab90d7
relation.isOrgUnitOfPublication.latestForDiscovery85662e71-2a61-492a-b407-df4d38ab90d7

Files

License bundle

Now showing 1 - 1 of 1
Placeholder
Name:
license.txt
Size:
1.45 KB
Format:
Item-specific license agreed upon to submission
Description:

Collections