Work

VIIDA and InViDe: computational approaches for generating and evaluating inclusive image paragraphs for the visually impaired

Year: 2024

Type: article

Source: Disability and Rehabilitation Assistive Technology

DOI: 10.1080/17483107.2024.2437567

Authors: Daniel L. Fernandes, Marcos H. F. Ribeiro, Michel M. Silva, Fabio R. Cerqueira

Institutions: Universidade Federal de Viçosa, Universidade Federal Fluminense

Language: English

Topic: Multimodal Machine Learning Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Reduced inequalities

Open Access status: closed

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

OpenAlex ID: W4405283450

FWCI: 0.281

Cites: 86

Cited by: 2

Related to: 10