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- W2953375280 abstract "Studies from neuroscience show that part-mapping computations are employed by human visual system in the process of object recognition. In this work, we present an approach for analyzing semantic-part characteristics of object category representations. For our experiments, we use category-epitome, a recently proposed sketch-based spatial representation for objects. To enable part-importance analysis, we first obtain semantic-part annotations of hand-drawn sketches originally used to construct the corresponding epitomes. We then examine the extent to which the semantic-parts are present in the epitomes of a category and visualize the relative importance of parts as a word cloud. Finally, we show how such word cloud visualizations provide an intuitive understanding of category-level structural trends that exist in the category-epitome object representations." @default.
- W2953375280 created "2019-06-27" @default.
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- W2953375280 date "2015-09-15" @default.
- W2953375280 modified "2023-09-27" @default.
- W2953375280 title "Analyzing structural characteristics of object category representations from their semantic-part distributions" @default.
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- W2953375280 hasPublicationYear "2015" @default.
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