Thangka Image Captioning Based on Semantic Concept Prompt and Multimodal Feature Optimization

Thangka images exhibit a high level of diversity and richness, and the existing deep learning-based image captioning methods generate poor accuracy and richness of Chinese captions for Thangka images. To address this issue, this paper proposes a Semantic Concept Prompt and Multimodal Feature Optimiz...

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Detalles Bibliográficos
Autores principales: Hu, Wenjin, Qiao, Lang, Kang, Wendong, Shi, Xinyue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10455603/
https://www.ncbi.nlm.nih.gov/pubmed/37623694
http://dx.doi.org/10.3390/jimaging9080162

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10455603/
https://www.ncbi.nlm.nih.gov/pubmed/37623694
http://dx.doi.org/10.3390/jimaging9080162

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