Author
Ersoy, Asım, Yıldız, Olcay Taner, Özer, Sedat
Publication Date
2023
Publication Place
-
IEEE
Subject
Object Relation Transformer, Transformer, Turkish Image captioning, WordPiece Tokenization
Type
Document
Language
English
Digital
Yes
Manuscript
No
Library
Özyeğin University
Library Asset ID
979-835034355-7
Record ID
c5034de6-1a9c-41b6-b4fc-4179b15dac08
Library Location
Computer Science
Date
2023
Sample Text
Recent 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.
DOI
10.1109/SIU59756.2023.10223956
