Multi-Label Classification in Anime Illustrations Based on Hierarchical Attribute Relationships

In this paper, we propose a hierarchical multi-modal multi-label attribute classification model for anime illustrations using a graph convolutional network (GCN). Our focus is on the challenging task of multi-label attribute classification, which requires capturing subtle features intentionally high...

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Detalles Bibliográficos
Autores principales: Lan, Ziwen, Maeda, Keisuke, Ogawa, Takahiro, Haseyama, Miki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10222001/
https://www.ncbi.nlm.nih.gov/pubmed/37430712
http://dx.doi.org/10.3390/s23104798

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10222001/
https://www.ncbi.nlm.nih.gov/pubmed/37430712
http://dx.doi.org/10.3390/s23104798

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