Multiple Granularity Descriptors for Fine-Grained Categorization

ICCV, 2015.

Cited by: 144|Views42
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Abstract:

Fine-grained categorization, which aims to distinguish subordinate-level categories such as bird species or dog breeds, is an extremely challenging task. This is due to two main issues: how to localize discriminative regions for recognition and how to learn sophisticated features for representation. Neither of them is easy to handle if th...More

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