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Semantic Understanding of Scenes Through the ADE20K Dataset

2018· article· en· 1,667 citations· W2507296351 on OpenAlex· 10.1007/s11263-018-1140-0

Why is this work in the frame?

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

Canadian affiliationAn author listed a Canadian institution. This is the only route the usual frame has.
Canadian funderA Canadian agency funded it. The work may carry no Canadian affiliation at all.

Abstract

No abstract. This is not a gap in this database — OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

The record

Venue
International Journal of Computer Vision
Topic
Advanced Neural Network Applications
Field
Computer Science
Canadian institutions
University of Toronto
Funders
Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of CanadaSamsungNational Science Foundation
Keywords
Computer scienceNormalization (sociology)ParsingSegmentationArtificial intelligenceVariety (cybernetics)Object (grammar)PixelContext (archaeology)Pattern recognition (psychology)Computer visionGeography
Has abstract in OpenAlex
no