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• W2154083146 abstract "This paper presents a nonparametric approach to semantic parsing using small patches and simple gradient, color and location features. We learn the relevance of individual feature channels at test time using a locally adaptive distance metric. To further improve the accuracy of the nonparametric approach, we examine the importance of the retrieval set used to compute the nearest neighbours using a novel semantic descriptor to retrieve better candidates. The approach is validated by experiments on several datasets used for semantic parsing demonstrating the superiority of the method compared to the state of art approaches." @default.
• W2154083146 created "2016-06-24" @default.
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• W2154083146 date "2013-06-01" @default.
• W2154083146 modified "2023-09-28" @default.
• W2154083146 title "Nonparametric Scene Parsing with Adaptive Feature Relevance and Semantic Context" @default.
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• W2154083146 doi "https://doi.org/10.1109/cvpr.2013.405" @default.
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