PDF-D Object Representations for FineGrained Categorization Jonathan Krause Michael Stark Jia Deng and Li FeiFei Computer Science Department Stanford University Max Planck Institute for Informatics Ab
Stateoftheart approaches achieve remarkable performance when training data is plentiful but they are typically tied to 64258at 2D represen tations that model objects
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