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Deep Semantics for ...
Deep Semantics for Explainable Visuospatial Intelligence : Perspectives on Integrating Commonsense Spatial Abstractions and Low-Level Neural Features
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- Bhatt, Mehul, Professor, 1980- (författare)
- Örebro universitet,Institutionen för naturvetenskap och teknik
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- Suchan, Jakob (författare)
- University of Bremen, Bremen, Germany
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- Vardarajan, Srikrishna (författare)
- CoDesign Lab EU
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(creator_code:org_t)
- 2019
- 2019
- Engelska.
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Ingår i: Proceedings of the 2019 International Workshop on Neural-Symbolic Learning and Reasoning.
- Relaterad länk:
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https://www.ijcai.or...
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Abstract
Ämnesord
Stäng
- High-level semantic interpretation of (dynamic) visual imagery calls for general and systematic methods integrating techniques in knowledge representation and computer vision. Towards this, we position "deep semantics", denoting the existence of declarative models –e.g., pertaining "space and motion"– and corresponding formalisation and methods supporting (domain-independent) explainability capabilities such as semantic question-answering, relational (and relationally-driven) visuospatial learning, and (non-monotonic) visuospatial abduction. Rooted in recent work, we summarise and report the status quo on deep visuospatial semantics —and our approach to neurosymbolic integration and explainable visuo-spatial computing in that context— with developed methods and tools in diverse settings such as behavioural research in psychology, art & social sciences, and autonomous driving.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Medieteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Media and Communication Technology (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- Computer Science
- Datavetenskap
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)