Deep Multi-task Attribute-driven Ranking for Fine-grained Sketch-based Image Retrieval
نویسندگان
چکیده
With touch-screen devices becoming ever more ubiquitous, sketch holds great promise as an intuitive and efficient mode of input compared to classic alternatives. This has motivated a major revival of interest in vision-based analysis of sketches, notably in sketch-based image retrieval (SBIR). Superior to classic SBIR methods, finegrained SBIR (FG-SBIR) methods [1] are proposed to make fine-grained retrieval in categorylevel.
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تاریخ انتشار 2016