Image captioning for Brazilian Portuguese using GRIT model
Fuente:
arXiv
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| Autori principali: | , , |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866929237192081408 |
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| author | de Alencar, Rafael Silva Castañeda, William Alberto Cruz Amadeus, Marcellus |
| author_facet | de Alencar, Rafael Silva Castañeda, William Alberto Cruz Amadeus, Marcellus |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_05106 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Image captioning for Brazilian Portuguese using GRIT model de Alencar, Rafael Silva Castañeda, William Alberto Cruz Amadeus, Marcellus Computer Vision and Pattern Recognition Artificial Intelligence Computation and Language 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. |
| title | Image captioning for Brazilian Portuguese using GRIT model |
| topic | Computer Vision and Pattern Recognition Artificial Intelligence Computation and Language |
| url | https://arxiv.org/abs/2402.05106 |