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Appreciation of Symbolic Attributes in Machine Perception
Örebro University, School of Science and Technology. (Center for Applied Autonomous Sensor Systems (AASS))ORCID iD: 0000-0002-7072-7104
2022 (English)In: AIC 2022: Artificial Intelligence and Cognition 2022: Proceedings of the 8th International Workshop on Artificial Intelligence and Cognition, Örebro, Sweden, 15-17 June, 2022 / [ed] Hadi Banaee; Amy Loutfi; Alessandro Saffiotti; Antonio Lieto, Technical University of Aachen , 2022, Vol. 3400, p. 182-186Conference paper, Published paper (Refereed)
Abstract [en]

In this position paper, we want to attract attention to the importance of symbolic attributes in machine perception. We discuss the benefits of a perception system that not only recognizes the category of objects, but also recognizes many other aspects of objects.

Place, publisher, year, edition, pages
Technical University of Aachen , 2022. Vol. 3400, p. 182-186
Series
CEUR Workshop Proceedings, E-ISSN 1613-0073 ; 3400
Keywords [en]
Context-awareness, Machine perception, Object understanding, Symbolic attribute detection, Object detection, Attribute detections, Context- awareness, Creative Commons, Perception systems, Position papers, Symbolic attributes
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:oru:diva-112137Scopus ID: 2-s2.0-85160812488OAI: oai:DiVA.org:oru-112137DiVA, id: diva2:1842790
Conference
8th International Workshop on Artificial Intelligence and Cognition (AIC 2022), Örebro, Sweden, June 15-17, 2022
Available from: 2024-03-06 Created: 2024-03-06 Last updated: 2024-03-08Bibliographically approved

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Faridghasemnia, Mohamadreza

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