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dc.contributor.author
Lahoud, Jean
dc.contributor.author
Ghanem, Bernard
dc.contributor.author
Oswald, Martin R.
dc.contributor.author
Pollefeys, Marc
dc.date.accessioned
2020-03-27T10:43:29Z
dc.date.available
2020-01-16T13:52:46Z
dc.date.available
2020-03-27T09:56:21Z
dc.date.available
2020-03-27T10:43:29Z
dc.date.issued
2019
dc.identifier.isbn
978-1-7281-4803-8
en_US
dc.identifier.isbn
978-1-7281-4804-5
en_US
dc.identifier.other
10.1109/ICCV.2019.00935
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/391188
dc.language.iso
en
en_US
dc.publisher
IEEE
en_US
dc.title
3D Instance Segmentation via Multi-Task Metric Learning
en_US
dc.type
Conference Paper
dc.date.published
2020-02-27
ethz.book.title
2019 IEEE/CVF International Conference on Computer Vision (ICCV)
en_US
ethz.pages.start
9255
en_US
ethz.pages.end
9265
en_US
ethz.event
17th International Conference on Computer Vision (ICCV 2019)
en_US
ethz.event.location
Seoul, South Korea
en_US
ethz.event.date
October 27 - November 2, 2019
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Piscataway, NJ
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02659 - Institut für Visual Computing / Institute for Visual Computing::03766 - Pollefeys, Marc / Pollefeys, Marc
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02150 - Dep. Informatik / Dep. of Computer Science::02659 - Institut für Visual Computing / Institute for Visual Computing::03766 - Pollefeys, Marc / Pollefeys, Marc
en_US
ethz.date.deposited
2020-01-16T13:52:53Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2020-03-27T09:56:32Z
ethz.rosetta.lastUpdated
2022-03-29T01:39:38Z
ethz.rosetta.versionExported
true
ethz.COinS
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