Towards interpretable multimodal embeddings: a QR-based prototype projection approach (2026)
- Authors:
- USP affiliated authors: CESAR JUNIOR, ROBERTO MARCONDES - IME ; HIRATA JUNIOR, ROBERTO - IME ; LEAL, JOAO VITOR TAVELLA - IME ; OLIVEIRA, ARTUR ANDRE ALMEIDA DE MACEDO - IME ; ESPADOTO, MATEUS - IME
- Unidade: IME
- DOI: 10.5220/0014183600004728
- Subjects: IMAGEM; APRENDIZADO COMPUTACIONAL; PROCESSAMENTO DE IMAGENS
- Keywords: Modelos multimodais
- Language: Inglês
- Imprenta:
- Source:
- Título: GRIVAPP 2026 Book of Abstracts
- Conference titles: International Conference on Computer Graphics, Interaction and Visualization Theory and Applications - GRIVAPP 2026
- Status:
- Artigo publicado em periódico de acesso aberto (Gold Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
LEAL, João Vitor Tavela et al. Towards interpretable multimodal embeddings: a QR-based prototype projection approach. 2026, Anais.. Lisboa: INSTICC, 2026. Disponível em: https://www.insticc.org/node/TechnicalProgram/GRIVAPP/2026/presentationDetails/141836. Acesso em: 02 abr. 2026. -
APA
Leal, J. V. T., Oliveira, A. A. A. de M., Espadoto, M., César Júnior, R. M., & Hirata Júnior, R. (2026). Towards interpretable multimodal embeddings: a QR-based prototype projection approach. In GRIVAPP 2026 Book of Abstracts. Lisboa: INSTICC. doi:10.5220/0014183600004728 -
NLM
Leal JVT, Oliveira AAA de M, Espadoto M, César Júnior RM, Hirata Júnior R. Towards interpretable multimodal embeddings: a QR-based prototype projection approach [Internet]. GRIVAPP 2026 Book of Abstracts. 2026 ;[citado 2026 abr. 02 ] Available from: https://www.insticc.org/node/TechnicalProgram/GRIVAPP/2026/presentationDetails/141836 -
Vancouver
Leal JVT, Oliveira AAA de M, Espadoto M, César Júnior RM, Hirata Júnior R. Towards interpretable multimodal embeddings: a QR-based prototype projection approach [Internet]. GRIVAPP 2026 Book of Abstracts. 2026 ;[citado 2026 abr. 02 ] Available from: https://www.insticc.org/node/TechnicalProgram/GRIVAPP/2026/presentationDetails/141836 - Improving image classification tasks using fused embeddings and multimodal models
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