METER: a mobile vision transformer architecture for monocular depth estimation
METER: a mobile vision transformer architecture for monocular depth estimation
About this item
Full title
Author / Creator
Papa, L , Russo, P and Amerini, I
Publisher
Ithaca: Cornell University Library, arXiv.org
Journal title
Language
English
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Publication information
Publisher
Ithaca: Cornell University Library, arXiv.org
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Scope and Contents
Contents
Depth estimation is a fundamental knowledge for autonomous systems that need to assess their own state and perceive the surrounding environment. Deep learning algorithms for depth estimation have gained significant interest in recent years, owing to the potential benefits of this methodology in overcoming the limitations of active depth sensing sys...
Alternative Titles
Full title
METER: a mobile vision transformer architecture for monocular depth estimation
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_proquest_journals_2956943356
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2956943356
Other Identifiers
E-ISSN
2331-8422
DOI
10.48550/arxiv.2403.08368
