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Computer vision / One-shot learning / Attribute / Object recognition / LabelMe / Caltech 101 / Vision / Imaging / Artificial intelligence


Understanding Objects in Detail with Fine-grained Attributes Andrea Vedaldi1 Siddharth Mahendran2 Ross Girshick5 Juho Kannala6 3
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Document Date: 2014-04-28 08:27:30

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File Size: 1,06 MB

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City

Oxford / /

Company

Amazon / Easyjet / Google / Yahoo / BMVA Press / /

Country

United Kingdom / /

Facility

University of Oulu / University of Washington / Interactively building / HOG pyramid / Toyota Research Institute / Johns Hopkins University / University of California at Berkeley / Stony Brook University / /

IndustryTerm

web-based tool / airline / coarse-to-fine algorithm / humancentric applications / hierarchical cascade algorithm / refined processing / computing / noisy web data / search engine / /

Movie

D. III / /

Organization

University of Washington / University of California / Ecole Centrale Paris / National Science Foundation / MIT AI Lab / Toyota Research Institute Chicago / Johns Hopkins University / U.S. Securities and Exchange Commission / University of Oulu / Stony Brook University / /

Person

Harrison Ford / Clive Owen / PASCAL VOC / G. Kulkarni / V / K. Chatfield / V / Mick Bajcar / /

Position

average filter PM / researcher / fisher / computational model for visual selection / /

Product

biplane / S-312 Tucano / /

ProgrammingLanguage

PASCAL / /

ProvinceOrState

California / /

Technology

coarse-to-fine algorithm / hierarchical cascade algorithm / http / search engine / html / /

URL

www.airliners.net / http /

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