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Matches in SemOpenAlex for { <https://semopenalex.org/work/W4376522650> ?p ?o ?g. }

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• W4376522650 abstract "The goal of this work is to find visually similar images even if they appear quite different at the raw pixel level. This task is particularly important for matching images across visual domains, such as photos taken over different seasons or lighting conditions, paintings, hand-drawn sketches, etc. We propose a surprisingly simple method that estimates the relative importance of different features in a query image based on the notion of data-driven uniqueness. We employ standard tools from discriminative object detection in a novel way, yielding a generic approach that does not depend on a particular image representation or a specific visual domain. Our approach shows good performance on a number of difficult cross-domain visual tasks e.g., matching paintings or sketches to real photographs. The method also allows us to demonstrate novel applications such as Internet re-photography , and painting2gps. While at present the technique is too computationally intensive to be practical for interactive image retrieval, we hope that some of the ideas will eventually become applicable to that domain as well." @default.
• W4376522650 created "2023-05-15" @default.
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• W4376522650 date "2011-12-01" @default.
• W4376522650 modified "2023-10-10" @default.
• W4376522650 title "Data-driven visual similarity for cross-domain image matching" @default.
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• W4376522650 doi "https://doi.org/10.1145/2070781.2024188" @default.
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