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dc.contributor.authorCorcoran, Peter
dc.contributor.editorDavid Brady
dc.date.accessioned2019-10-11T10:14:53Z
dc.date.available2019-10-11T10:14:53Z
dc.date.issued2018-10-22
dc.identifier.citationCorcoran, Peter. (2018). Fake data - the future of advanced computer vision systems. Plenary paper presented at the 2018 Duke Kunshan University International Innovation Symposium on Smart Camera Technologies, Duke Kunshan University Campus, Shanghai, China, 22-23 November, DOI: 10.13025/qbe4-qr97en_IE
dc.identifier.urihttp://hdl.handle.net/10379/15508
dc.description.abstractRecent research shows that Data Augmentation techniques and Synthetic Data can improve the accuracy and reduce the susceptibility of Deep Neural Networks to Adversarial Attacks. In this presentation we consider some of the new tools that are available to build advanced virtual models that can be used to render large 2D training datasets suitable for training tomorrow's advanced Computer Vision systems for deployment in consumer and smart-city use cases.en_IE
dc.formatapplication/pdfen_IE
dc.language.isoenen_IE
dc.publisherNUI Galwayen_IE
dc.relation.ispartofen
dc.subjectSynthetic Dataen_IE
dc.subjectData Augmentationen_IE
dc.subjectComputer Visionen_IE
dc.subjectDeep Neural Networksen_IE
dc.subjectArtificial Intelligenceen_IE
dc.subjectSmart Cityen_IE
dc.subjectAutonomous Drivingen_IE
dc.titleFake data - the future of advanced computer vision systemsen_IE
dc.typeConference Paperen_IE
dc.date.updated2019-10-06T11:45:10Z
dc.local.publishedsourcehttps://dx.doi.org/10.13025/qbe4-qr97
dc.description.peer-reviewedpeer-reviewed
dc.internal.rssid17934494
dc.local.contactPeter Corcoran, Electrical & Electronic Eng, Room 3041, Engineering Building, Nui Galway. 2764 Email: peter.corcoran@nuigalway.ie
dc.local.copyrightcheckedYes
dc.local.versionSUBMITTED
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