NeSy4VRD: A Multifaceted Resource for Neurosymbolic AI Research using Knowledge Graphs in Visual Relationship Detection
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Abstract (arXiv)
NeSy4VRD is a multifaceted resource designed to support the development of neurosymbolic AI (NeSy) research. NeSy4VRD re-establishes public access to the images of the VRD dataset and couples them with an extensively revised, quality-improved version of the VRD visual relationship annotations. Crucially, NeSy4VRD provides a well-aligned, companion OWL ontology that describes the dataset domain.It comes with open source infrastructure that provides comprehensive support for extensibility of the annotations (which, in turn, facilitates extensibility of the ontology), and open source code for loading the annotations to/from a knowledge graph. We are contributing NeSy4VRD to the computer vision, NeSy and Semantic Web communities to help foster more NeSy research using OWL-based knowledge graphs.
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References · 9
- 2016Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotationscited by 2,656
- 2018The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scalecited by 544
- 2016Visual Relationship Detection with Language Priorscited by 334
- 2020Neurosymbolic AI: The 3rd Wavecited by 255
- 2017Neural-Symbolic Learning and Reasoning: A Survey and Interpretationcited by 196
- 2020The Next Decade in AI: Four Steps Towards Robust Artificial Intelligencecited by 195
- 2022Scene Graph Generation: A Comprehensive Surveycited by 73
- 2021OntoZSL: Ontology-enhanced Zero-shot Learningcited by 45
- 2015Describing Common Human Visual Actions in Imagescited by 12
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