Prototypicality effects in global semantic description of objects

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Authors: Omar Vidal Pino,Erickson Rangel Nascimento,Mario Fernando Montenegro Campos
ArXiv: 1801.04331
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Abstract URL: http://arxiv.org/abs/1801.04331v3


In this paper, we introduce a novel approach for semantic description of object features based on the prototypicality effects of the Prototype Theory. Our prototype-based description model encodes and stores the semantic meaning of an object, while describing its features using the semantic prototype computed by CNN-classifications models. Our method uses semantic prototypes to create discriminative descriptor signatures that describe an object highlighting its most distinctive features within the category. Our experiments show that: i) our descriptor preserves the semantic information used by the CNN-models in classification tasks; ii) our distance metric can be used as the object's typicality score; iii) our descriptor signatures are semantically interpretable and enables the simulation of the prototypical organization of objects within a category.

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