HCVRD: A benchmark for large-scale human-centered visual relationship detection

dc.contributor.authorZhuang, B.
dc.contributor.authorWu, Q.
dc.contributor.authorShen, C.
dc.contributor.authorReid, I.
dc.contributor.authorVan Den Hengel, A.
dc.contributor.conferenceAAAI Conference on Artificial Intelligence (AAAI) (2 Feb 2018 - 7 Feb 2018 : New Orleans)
dc.date.issued2018
dc.description.abstractVisual relationship detection aims to capture interactions between pairs of objects in images. Relationships between objects and humans represent a particularly important subset of this problem, with implications for challenges such as understanding human behavior, and identifying affordances, amongst others. In addressing this problem we first construct a large-scale human-centric visual relationship detection dataset (HCVRD), which provides many more types of relationship annotations (nearly 10K categories) than the previous released datasets. This large label space better reflects the reality of human-object interactions, but gives rise to a long-tail distribution problem, which in turn demands a zero-shot approach to labels appearing only in the test set. This is the first time this issue has been addressed. We propose a webly-supervised approach to these problems and demonstrate that the proposed model provides a strong baseline on our HCVRD dataset.
dc.description.statementofresponsibilityBohan Zhuang, Qi Wu, Chunhua Shen, Ian Reid, Anton van den Hengel
dc.identifier.citationProceedings of the ... AAAI Conference on Artificial Intelligence. AAAI Conference on Artificial Intelligence, 2018, pp.7631-7638
dc.identifier.isbn9781577358008
dc.identifier.issn2159-5399
dc.identifier.issn2374-3468
dc.identifier.orcidWu, Q. [0000-0003-3631-256X]
dc.identifier.orcidReid, I. [0000-0001-7790-6423]
dc.identifier.orcidVan Den Hengel, A. [0000-0003-3027-8364]
dc.identifier.urihttp://hdl.handle.net/2440/117898
dc.language.isoen
dc.publisherAssociation for the Advancement of Artificial Intelligence
dc.relation.ispartofseriesAAAI Conference on Artificial Intelligence
dc.rightsCopyright © 2018, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
dc.titleHCVRD: A benchmark for large-scale human-centered visual relationship detection
dc.typeConference paper
pubs.publication-statusPublished

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