FineGrained Crowdsourcing for FineGrained Recognition Jia Deng Jonathan Krause Li FeiFei Computer Science Department Stanford University Abstract Finegrained recognition concerns categorization at sub - PDF document

FineGrained Crowdsourcing for FineGrained Recognition Jia Deng Jonathan Krause Li FeiFei Computer Science Department Stanford University Abstract Finegrained recognition concerns categorization at sub
FineGrained Crowdsourcing for FineGrained Recognition Jia Deng Jonathan Krause Li FeiFei Computer Science Department Stanford University Abstract Finegrained recognition concerns categorization at sub

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FineGrained Crowdsourcing for FineGrained Recognition Jia Deng Jonathan Krause Li FeiFei Computer Science Department Stanford University Abstract Finegrained recognition concerns categorization at sub - Description


Compared to basic level recogni tion 64257negrained categorization can be more challenging as there are in general less data and fewer discriminative features This necessitates the use of stronger prior for fea ture selection In this work we include ID: 7278 Download Pdf

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