Perceptual Annotation : Measuring Human Vision to Improve Computer Vision
For many problems in computer vision, human learners are considerably better than machines. Humans possess highly accurate internal recognition and learning mechanisms that are not yet understood, and they frequently have access to more extensive training data through a lifetime of unbiased experien...
Ausführliche Beschreibung
Bibliographische Detailangaben
Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 36(2014), 8 vom: 01. Aug., Seite 1679-86
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1. Verfasser: |
Scheirer, Walter J
(VerfasserIn) |
Weitere Verfasser: |
Anthony, Samuel E,
Nakayama, Ken,
Cox, David D |
Format: | Online-Aufsatz
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Sprache: | English |
Veröffentlicht: |
2014
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Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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Schlagworte: | Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S. |