Towards Real-World Domain Adaptation with Deep Learning
dc.contributor.author
Wang, Qin
dc.contributor.supervisor
Fink, Olga
dc.contributor.supervisor
Dai, Dengxin
dc.contributor.supervisor
Li, Wen
dc.contributor.supervisor
Alahi, Alexandre
dc.date.accessioned
2022-02-09T07:40:54Z
dc.date.available
2022-02-08T15:00:37Z
dc.date.available
2022-02-09T07:40:54Z
dc.date.issued
2021
dc.identifier.uri
http://hdl.handle.net/20.500.11850/531464
dc.identifier.doi
10.3929/ethz-b-000531464
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
ETH Zurich
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.title
Towards Real-World Domain Adaptation with Deep Learning
en_US
dc.type
Doctoral Thesis
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2022-02-09
ethz.size
92 p.
en_US
ethz.code.ddc
DDC - DDC::0 - Computer science, information & general works::004 - Data processing, computer science
en_US
ethz.identifier.diss
28122
en_US
ethz.publication.place
Zurich
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.::02604 - Inst. für Bau- & Infrastrukturmanagement / Inst. Construction&Infrastructure Manag.::09642 - Fink, Olga (ehemalig) / Fink, Olga (former)
en_US
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.::02604 - Inst. für Bau- & Infrastrukturmanagement / Inst. Construction&Infrastructure Manag.::09642 - Fink, Olga (ehemalig) / Fink, Olga (former)
en_US
ethz.date.deposited
2022-02-08T15:00:50Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2022-02-09T07:41:01Z
ethz.rosetta.lastUpdated
2022-03-29T18:43:50Z
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true
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true
ethz.COinS
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Publication type
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Doctoral Thesis [28259]