SciGA: A Comprehensive Dataset for Designing Graphical Abstracts in Academic Papers

Fuente: arXiv

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Bibliographic Details
Main Authors:	Kawada, Takuro, Kitada, Shunsuke, Nemoto, Sota, Iyatomi, Hitoshi
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Computation and Language Machine Learning
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2507.02212