{"id":8705,"date":"2021-04-22T16:53:45","date_gmt":"2021-04-22T20:53:45","guid":{"rendered":"https:\/\/impresee.com\/?page_id=8705"},"modified":"2021-05-27T17:53:19","modified_gmt":"2021-05-27T21:53:19","slug":"sketch-based-image-retrieval","status":"publish","type":"page","link":"https:\/\/impresee.com\/es\/sketch-based-image-retrieval\/","title":{"rendered":"Compact and Effective Representations for Sketch-based Image Retrieval"},"content":{"rendered":"

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Compact and Effective Representations for Sketch-based Image Retrieval<\/h1>\n

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Pablo Torres
DCC University of Chile<\/span><\/h4>\n

pablo.torres.dessi@gmail.com<\/span><\/p>\n

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Jose M. Saavedra
Impresee Inc.<\/span><\/h4>\n

\u00a0jose.saavedra@impresee.com<\/p>\n

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Abstract<\/h2>\n
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Sketch-based image retrieval (SBIR) has undergone an increasing interest in the community of computer vision bringing high impact in real applications. For instance, SBIR brings an increased benefit to eCommerce search engines because it allows users to formulate a query just by drawing what they need to buy. However, current methods showing high precision in retrieval work in a high dimensional space, which negatively affects aspects like memory consumption and time processing. Although some authors have also proposed compact representations, these drastically degrade the performance in a low dimension. Therefore in this work, we present different results of evaluating methods for producing compact embeddings in the context of sketch-based image retrieval. Our main interest is in strategies aiming to keep the local structure of the original space. The recent unsupervised local-topology preserving dimension reduction method UMAP fits our requirements and shows outstanding performance, improving even
the precision achieved by SOTA methods. We evaluate six methods in two different datasets. We use Flickr15K and eCommerce datasets; the latter is another contribution of this work. We show that UMAP allows us to have feature vectors of 16 bytes improving precision by more than 35%.<\/p>\n

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Soluci\u00f3n<\/h2>\n

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Creative Memory<\/h6>\n

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Nuestra historia<\/h6>\n

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Precios<\/h6>\n

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Plataformas<\/h2>\n

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WooCommerce<\/h6>\n

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Recursos<\/h2>\n

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Tutoriales<\/h6>\n

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eBooks<\/h6>\n

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Agendar demo<\/h6>\n

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Compact and Effective Representations for Sketch-based Image RetrievalPablo TorresDCC University of Chile pablo.torres.dessi@gmail.com Jose M. SaavedraImpresee Inc. \u00a0jose.saavedra@impresee.comAbstract Sketch-based image retrieval (SBIR) has undergone an increasing interest in the community of computer vision bringing high impact in real applications. For instance, SBIR brings an increased benefit to eCommerce search engines because it allows users to […]<\/p>","protected":false},"author":1,"featured_media":8713,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-8705","page","type-page","status-publish","has-post-thumbnail","hentry"],"yoast_head":"\nCompact and Effective Representations for Sketch-based Image Retrieval<\/title>\n<meta name=\"description\" content=\"We show that UMAP allows us to have feature vectors of 16 bytes improving precision by more than 35%.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/impresee.com\/es\/sketch-based-image-retrieval\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Compact and Effective Representations for Sketch-based Image Retrieval\" \/>\n<meta property=\"og:description\" content=\"We show that UMAP allows us to have feature vectors of 16 bytes improving precision by more than 35%.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/impresee.com\/es\/sketch-based-image-retrieval\/\" \/>\n<meta property=\"og:site_name\" content=\"Impresee: Search bar and navigation solutions for eCommerce\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/impresee\/\" \/>\n<meta property=\"article:modified_time\" content=\"2021-05-27T21:53:19+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/impresee.com\/wp-content\/uploads\/example_UMAP.png\" \/>\n\t<meta property=\"og:image:width\" content=\"558\" \/>\n\t<meta property=\"og:image:height\" content=\"426\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@impresee\" \/>\n<meta name=\"twitter:label1\" content=\"Tiempo estimado de lectura\" \/>\n\t<meta name=\"twitter:data1\" content=\"4 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/impresee.com\/sketch-based-image-retrieval\/\",\"url\":\"https:\/\/impresee.com\/sketch-based-image-retrieval\/\",\"name\":\"Compact and Effective Representations for Sketch-based Image Retrieval\",\"isPartOf\":{\"@id\":\"https:\/\/impresee.com\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/impresee.com\/sketch-based-image-retrieval\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/impresee.com\/sketch-based-image-retrieval\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/impresee.com\/wp-content\/uploads\/example_UMAP.png\",\"datePublished\":\"2021-04-22T20:53:45+00:00\",\"dateModified\":\"2021-05-27T21:53:19+00:00\",\"description\":\"We show that UMAP allows us to have feature vectors of 16 bytes improving precision by more than 35%.\",\"breadcrumb\":{\"@id\":\"https:\/\/impresee.com\/sketch-based-image-retrieval\/#breadcrumb\"},\"inLanguage\":\"es-CL\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/impresee.com\/sketch-based-image-retrieval\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"es-CL\",\"@id\":\"https:\/\/impresee.com\/sketch-based-image-retrieval\/#primaryimage\",\"url\":\"https:\/\/impresee.com\/wp-content\/uploads\/example_UMAP.png\",\"contentUrl\":\"https:\/\/impresee.com\/wp-content\/uploads\/example_UMAP.png\",\"width\":558,\"height\":426},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/impresee.com\/sketch-based-image-retrieval\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/impresee.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Compact and Effective Representations for Sketch-based Image Retrieval\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/impresee.com\/#website\",\"url\":\"https:\/\/impresee.com\/\",\"name\":\"Impresee\",\"description\":\"AI search bar, filters and discount games for eCommerce to get more visitors, increase conversion and get repeat sales. 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