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ChartFormer: A Large Vision Language Model for Converting Chart Images into Tactile Accessible SVGs

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Moured, Omar, Alzalabny, Sara, Osman, Anas, Schwarz, Thorsten, Muller, Karin, Stiefelhagen, Rainer
Format:	Preprint
Publié:	2024
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

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