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| Fältnamn | Indikatorer | Metadata |
|---|---|---|
| 000 | 02664naa a2200349 4500 | |
| 001 | oai:DiVA.org:hj-63652 | |
| 003 | SwePub | |
| 008 | 240221s2022 | |||||||||||000 ||eng| | |
| 024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-636522 URI |
| 040 | a (SwePub)hj | |
| 041 | a engb eng | |
| 042 | 9 SwePub | |
| 072 | 7 | a ref2 swepub-contenttype |
| 072 | 7 | a kon2 swepub-publicationtype |
| 100 | 1 | a Eiter, Thomasu Institute of Logic and Computation, Vienna University of Technology, Vienna, Austria4 aut |
| 245 | 1 0 | a A confidence-based interface for neuro-symbolic visual question answering |
| 264 | 1 | c 2022 |
| 338 | a print2 rdacarrier | |
| 520 | a We present a neuro-symbolic visual question answering (VQA) approach for the CLEVR dataset that is based on the combination of deep neural networks and answer-set programming (ASP), a logic-based paradigm for declarative problem solving. We provide a translation mechanism for the questions included in CLEVR to ASP programs. By exploiting choice rules, we consider deterministic and non-deterministic scene encodings. In addition, we introduce a confidence-based interface between the ASP module and the neural network which allows us to restrict the non-determinism to objects classified by the network with high confidence. Our experiments show that the non-deterministic scene encoding achieves good results even if the neural networks are trained rather poorly in comparison with the deterministic approach. This is important for building robust VQA systems if network predictions are less-than perfect. | |
| 650 | 7 | a NATURVETENSKAPx Data- och informationsvetenskapx Datavetenskap0 (SwePub)102012 hsv//swe |
| 650 | 7 | a NATURAL SCIENCESx Computer and Information Sciencesx Computer Sciences0 (SwePub)102012 hsv//eng |
| 653 | a neuro-symbolic reasoning | |
| 653 | a visual-question answering | |
| 653 | a answer-set programming | |
| 653 | a deep learning | |
| 700 | 1 | a Higuera, Nelsonu Institute of Logic and Computation, Vienna University of Technology, Vienna, Austria4 aut |
| 700 | 1 | a Oetsch, Johannesu Institute of Logic and Computation, Vienna University of Technology, Vienna, Austria4 aut0 (Swepub:hj)oetjoh |
| 700 | 1 | a Pritz, Michaelu Institute of Logic and Computation, Vienna University of Technology, Vienna, Austria4 aut |
| 710 | 2 | a Institute of Logic and Computation, Vienna University of Technology, Vienna, Austria4 org |
| 773 | 0 | t Combining learning and reasoning: Programming languages, formalisms, and representations |
| 856 | 4 | u https://openreview.net/pdf?id=_vpnJ0IJJI0y Fulltext |
| 856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-63652 |
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