VIIDA and InViDe: computational approaches for generating and evaluating inclusive image paragraphs for the visually impaired
VIIDA and InViDe emerge as efficient Assistive Technologies, combining Artificial Intelligence models and computational/mathematical techniques to generate and evaluate image descriptions for the visually impaired with low computational costs. This work is anticipated to inspire further research and application development in the domain of Assistive Technologies. Our codes are publicly available at: https://github.com/daniellf/VIIDA-and-InViDe.
Authors
- Fábio Ribeiro Cerqueira (ORCID: https://orcid.org/0000-0003-1325-2592)
- Daniel L. Fernandes (ORCID: https://orcid.org/0000-0002-6548-294X)
- Michel M. Silva (ORCID: https://orcid.org/0000-0002-2499-9619)
- Marcos H. F. Ribeiro (ORCID: https://orcid.org/0000-0003-4481-5781)
Institutions
- Universidade Federal de Viçosa (BR)
- Universidade Federal Fluminense (BR)
Publication Details
- Journal
- Disability and Rehabilitation Assistive Technology
- Published
- 2024-12-11
- DOI
- https://doi.org/10.1080/17483107.2024.2437567
- Citations
- 1
- Primary Topic
- Multimodal Machine Learning Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.25
Funders
- Coordenação de Aperfeiçoamento de Pessoal de Nível Superior
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
- Fundação de Amparo à Pesquisa do Estado de Minas Gerais