Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in CNNs
dc.contributor.author
Hackel, Timo
dc.contributor.author
Usvyatsov, Mikhail
dc.contributor.author
Galliani, Silvano
dc.contributor.author
Wegner, Jan D.
dc.contributor.author
Schindler, Konrad
dc.date.accessioned
2020-04-20T06:01:48Z
dc.date.available
2020-03-22T01:38:22Z
dc.date.available
2020-03-23T09:06:57Z
dc.date.available
2020-04-20T06:01:48Z
dc.date.issued
2020-04
dc.identifier.issn
0920-5691
dc.identifier.issn
1573-1405
dc.identifier.other
10.1007/s11263-020-01302-5
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/406027
dc.language.iso
en
en_US
dc.publisher
Springer
en_US
dc.subject
Deep learning
en_US
dc.subject
Sparse convolutions
en_US
dc.subject
Voxel grids
en_US
dc.title
Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in CNNs
en_US
dc.type
Journal Article
dc.date.published
2020-03-04
ethz.journal.title
International Journal of Computer Vision
ethz.journal.volume
128
en_US
ethz.journal.issue
4
en_US
ethz.journal.abbreviated
Int J Comput Vis
ethz.pages.start
1047
en_US
ethz.pages.end
4059
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Dordrecht
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02647 - Inst. f. Geodäsie und Photogrammetrie / Institute of Geodesy and Photogrammetry::03886 - Schindler, Konrad / Schindler, Konrad
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02647 - Inst. f. Geodäsie und Photogrammetrie / Institute of Geodesy and Photogrammetry::03886 - Schindler, Konrad / Schindler, Konrad
ethz.date.deposited
2020-03-22T01:38:30Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2020-04-20T06:01:58Z
ethz.rosetta.lastUpdated
2022-03-29T01:51:09Z
ethz.rosetta.versionExported
true
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