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- W2963771330 abstract "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." @default.
- W2963771330 created "2019-07-30" @default.
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- W2963771330 date "2019-01-01" @default.
- W2963771330 modified "2023-10-16" @default.
- W2963771330 title "Prototypicality Effects in Global Semantic Description of Objects" @default.
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- W2963771330 doi "https://doi.org/10.1109/wacv.2019.00136" @default.
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