{"id":1513,"date":"2023-12-19T12:56:47","date_gmt":"2023-12-19T12:56:47","guid":{"rendered":"https:\/\/dataninja.nrw\/?page_id=1513"},"modified":"2023-12-19T12:56:47","modified_gmt":"2023-12-19T12:56:47","slug":"01-tobias-riedlinger-gradient-based-quantification-of-epistemic-uncertainty-for-deep-object-detectors","status":"publish","type":"page","link":"https:\/\/dataninja.nrw\/?page_id=1513","title":{"rendered":"01 &#8211; Tobias Riedlinger &#8211; Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors"},"content":{"rendered":"\n<h1 class=\"wp-block-heading\">Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors<\/h1>\n\n\n\n<p><strong>Tobias Riedlinger<sup>1<\/sup>, Matthias Rottmann<sup>1<\/sup>, Marius Schubert<\/strong><sup>1<\/sup>, <strong>Hanno Gottschalk<\/strong><sup>1<\/sup><br><sup>1<\/sup> School of Mathematics and Natural Sciences, University of Wuppertal<br><br>Licence: Copyright (c) 2022 The Authors<br><img loading=\"lazy\" decoding=\"async\" width=\"403\" height=\"141\" class=\"wp-image-1132\" style=\"width: 100px;\" src=\"https:\/\/dataninja.nrw\/wp-content\/uploads\/2023\/06\/cc_by_licence.png\" alt=\"\" srcset=\"https:\/\/dataninja.nrw\/wp-content\/uploads\/2023\/06\/cc_by_licence.png 403w, https:\/\/dataninja.nrw\/wp-content\/uploads\/2023\/06\/cc_by_licence-300x105.png 300w\" sizes=\"(max-width: 403px) 100vw, 403px\" \/><br>This work is licensed under a\u00a0<a href=\"https:\/\/creativecommons.org\/licenses\/by\/4.0\/\">Creative Commons Attribution 4.0 International License<\/a>.<\/p>\n\n\n\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Extended Abstract<\/h2>\n\n\n\n<div data-wp-interactive=\"\" class=\"wp-block-file\"><object data-wp-bind--hidden=\"!selectors.core.file.hasPdfPreview\" hidden class=\"wp-block-file__embed\" data=\"https:\/\/dataninja.nrw\/wp-content\/uploads\/2023\/12\/riedlinger.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Embed of riedlinger.\"><\/object><a id=\"wp-block-file--media-0be4a634-a575-4b66-8ed4-4c953c1d7eab\" href=\"https:\/\/dataninja.nrw\/wp-content\/uploads\/2023\/12\/riedlinger.pdf\">riedlinger<\/a><a href=\"https:\/\/dataninja.nrw\/wp-content\/uploads\/2023\/12\/riedlinger.pdf\" class=\"wp-block-file__button wp-element-button\" download aria-describedby=\"wp-block-file--media-0be4a634-a575-4b66-8ed4-4c953c1d7eab\">Download Extended Abstract<\/a><\/div>\n\n\n\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Poster<\/h2>\n\n\n\n<div data-wp-interactive=\"\" class=\"wp-block-file\"><object data-wp-bind--hidden=\"!selectors.core.file.hasPdfPreview\" hidden class=\"wp-block-file__embed\" data=\"https:\/\/dataninja.nrw\/wp-content\/uploads\/2023\/12\/poster.pdf\" type=\"application\/pdf\" style=\"width:100%;height:600px\" aria-label=\"Embed of poster.\"><\/object><a id=\"wp-block-file--media-6fe9372c-001b-482c-a08b-dc5c31e4ab79\" href=\"https:\/\/dataninja.nrw\/wp-content\/uploads\/2023\/12\/poster.pdf\">poster<\/a><a href=\"https:\/\/dataninja.nrw\/wp-content\/uploads\/2023\/12\/poster.pdf\" class=\"wp-block-file__button wp-element-button\" download aria-describedby=\"wp-block-file--media-6fe9372c-001b-482c-a08b-dc5c31e4ab79\">Download Poster File<\/a><\/div>\n\n\n\n<style>\n#page-site-header > .overlay, .page-header {\n    display: none;\n}\n<\/style>\n","protected":false},"excerpt":{"rendered":"<p>Gradient-Based Quantification of Epistemic Uncertainty for Deep Object Detectors Tobias Riedlinger1, Matthias Rottmann1, Marius Schubert1, Hanno Gottschalk11 School of Mathematics [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":780,"parent":762,"menu_order":1,"comment_status":"closed","ping_status":"closed","template":"","meta":{"ub_ctt_via":"","footnotes":""},"featured_image_src":"https:\/\/dataninja.nrw\/wp-content\/uploads\/2022\/02\/SpringSchool_HeaderOfPage.jpg","_links":{"self":[{"href":"https:\/\/dataninja.nrw\/index.php?rest_route=\/wp\/v2\/pages\/1513"}],"collection":[{"href":"https:\/\/dataninja.nrw\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/dataninja.nrw\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/dataninja.nrw\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/dataninja.nrw\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1513"}],"version-history":[{"count":1,"href":"https:\/\/dataninja.nrw\/index.php?rest_route=\/wp\/v2\/pages\/1513\/revisions"}],"predecessor-version":[{"id":1523,"href":"https:\/\/dataninja.nrw\/index.php?rest_route=\/wp\/v2\/pages\/1513\/revisions\/1523"}],"up":[{"embeddable":true,"href":"https:\/\/dataninja.nrw\/index.php?rest_route=\/wp\/v2\/pages\/762"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/dataninja.nrw\/index.php?rest_route=\/wp\/v2\/media\/780"}],"wp:attachment":[{"href":"https:\/\/dataninja.nrw\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1513"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}