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Communications of the ACM
Article . 2014 . Peer-reviewed
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https://dx.doi.org/10.1145/262...
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Scene understanding by labeling pixels

descriptionPublicationkeyboard_double_arrow_right Article 27 Oct 2014 Australia English Publisher:Association for Computing Machinery (ACM)Journal:Communications of the ACM, volume 57, pages 68-77 (issn: 0001-0782, eissn: 1557-7317, Copyright policy )
Authors: Gould, Stephen; He, Xuming;

doi: 10.1145/2629637

handle: 1885/57911

Scene understanding by labeling pixels

Abstract

Pixels labeled with a scene's semantics and geometry let computers describe what they see.

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Australia
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Top 10%
Top 10%
Green