Image captioning for Brazilian Portuguese using GRIT model
Not on the map. Why?
Abstract (arXiv)
This work presents the early development of a model of image captioning for the Brazilian Portuguese language. We used the GRIT (Grid - and Region-based Image captioning Transformer) model to accomplish this work. GRIT is a Transformer-only neural architecture that effectively utilizes two visual features to generate better captions. The GRIT method emerged as a proposal to be a more efficient way to generate image captioning. In this work, we adapt the GRIT model to be trained in a Brazilian Portuguese dataset to have an image captioning method for the Brazilian Portuguese Language.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 3 of its 6 references that are in the map. First posted on arXiv 7 Feb 2024.
Builds on
3 of 6 references.
References · 3
- 2014Microsoft COCO: Common Objects in Contextcited by 17,498
- 2014CIDEr: Consensus-based Image Description Evaluationcited by 2,027
- 2022GRIT: Faster and Better Image captioning Transformer Using Dual Visual Featurescited by 56
Built on by
Citing papers per year: 2026: 1.
1 paper.