Embed / Share - 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
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Stateoftheart approaches achieve remarkable performance when training data is plentiful but they are typically tied to 64258at 2D represen tations that model objects as a collection of unconnected views limiting their ability to generalize across vi ID: 12333 Download Pdf