DiagramNet: hand-drawn diagram recognition using visual arrow-relation detection

Schäfer, Bernhard ; Stuckenschmidt, Heiner

DOI:	https://doi.org/10.1007/978-3-030-86549-8_39
URL:	https://link.springer.com/chapter/10.1007/978-3-03...
Document Type:	Conference or workshop publication
Year of publication:	2021
Book title:	Document Analysis and Recognition – ICDAR 2021 : 16th International Conference, Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part I
The title of a journal, publication series:	Lecture Notes in Computer Science
Volume:	12821
Page range:	614-630
Conference title:	ICDAR 2021, International Conference on Document Analysis and Recognition
Location of the conference venue:	Lausanne, Switzerland
Date of the conference:	05.-10. 09. 2021
Publisher:	Lladós, Joseph ; Lopresti, Daniel ; Uchida, Seiichi
Place of publication:	Berlin [u.a.]
Publishing house:	Springer
ISBN:	978-3-030-86548-1 , 978-3-030-86548-1
ISSN:	0302-9743 , 1611-3349
Publication language:	English
Institution:	School of Business Informatics and Mathematics > Practical Computer Science II: Artificial Intelligence (Stuckenschmidt 2009-)
Subject:	004 Computer science, internet
Keywords (English):	Graphics recognition , Offline recognition , Diagram recognition