{"id":15791,"date":"2024-07-08T14:08:32","date_gmt":"2024-07-08T12:08:32","guid":{"rendered":"https:\/\/www.sling.si\/?post_type=wpdmpro&#038;p=15791"},"modified":"2025-07-16T14:49:13","modified_gmt":"2025-07-16T12:49:13","slug":"new-low-shot-object-counting-methods-developed-on-eurohpc-vega-and-the-arnes-computing-cluster","status":"publish","type":"wpdmpro","link":"https:\/\/www.sling.si\/en\/download\/new-low-shot-object-counting-methods-developed-on-eurohpc-vega-and-the-arnes-computing-cluster\/","title":{"rendered":"New low-shot object counting methods developed on EuroHPC Vega and the Arnes computing cluster"},"content":{"rendered":"<p>Object counting is crucial in applications ranging from cell growth analysis, to crowd estimation in video surveillance systems, to product counting on production lines. Classical methods are not applicable in these cases because they require large annotated training sets and struggle in dense scenarios. On the other hand, the methods developed at the Visual Cognitive Systems Laboratory at the Faculty of Computer Science and Information Science, University of Ljubljana, develop accurate counting with just a few training examples and represent a methodological leap in computer vision.<\/p>\n<p>Download the entire article:<\/p>\n<p><a href=\"https:\/\/www.sling.si?wpdmdl=15791&amp;ind=1720441157502\"><img loading=\"lazy\" decoding=\"async\" class=\"fy-content-image fy-lazy js-lazy alignnone\" src=\"data:image\/svg+xml,%3Csvg%20width%3D%2280%22%20height%3D%2280%22%20xmlns%3D%22http:\/\/www.w3.org\/2000\/svg%22%20viewBox%3D%220%200%2080%2080%22%3E%3C\/svg%3E\" alt=\"Download the entire article\" width=\"80\" height=\"80\" data-src=\"https:\/\/www.sling.si\/wp-content\/plugins\/download-manager\/assets\/file-type-icons\/resume-download.png\"><div class=\"fy-image-loading fy-image-loading--spinner\" aria-hidden=\"true\"><\/div><\/a><\/p>\n<p>Authors: Matej Kristan; University of Ljubljana, Ur\u0161a Vodopivec; ARNES<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The methods developed at the Visual Cognitive Systems Laboratory at the Faculty of Computer Science and Information Science, University of Ljubljana, develop accurate counting with just a few training examples and represent a methodological leap in computer vision.<\/p>\n","protected":false},"author":10,"featured_media":15532,"comment_status":"closed","ping_status":"open","template":"","meta":{"_acf_changed":false,"__wpdm_changelog":[]},"wpdmcategory":[539],"wpdmtag":[480,485,468,605,657,602],"class_list":["post-15791","wpdmpro","type-wpdmpro","status-publish","has-post-thumbnail","hentry","wpdmcategory-use-case","wpdmtag-arnes","wpdmtag-fri-ul","wpdmtag-hpc","wpdmtag-ml","wpdmtag-ul","wpdmtag-vega"],"acf":[],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/www.sling.si\/en\/wp-json\/wp\/v2\/wpdmpro\/15791","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.sling.si\/en\/wp-json\/wp\/v2\/wpdmpro"}],"about":[{"href":"https:\/\/www.sling.si\/en\/wp-json\/wp\/v2\/types\/wpdmpro"}],"author":[{"embeddable":true,"href":"https:\/\/www.sling.si\/en\/wp-json\/wp\/v2\/users\/10"}],"replies":[{"embeddable":true,"href":"https:\/\/www.sling.si\/en\/wp-json\/wp\/v2\/comments?post=15791"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.sling.si\/en\/wp-json\/wp\/v2\/media\/15532"}],"wp:attachment":[{"href":"https:\/\/www.sling.si\/en\/wp-json\/wp\/v2\/media?parent=15791"}],"wp:term":[{"taxonomy":"wpdmcategory","embeddable":true,"href":"https:\/\/www.sling.si\/en\/wp-json\/wp\/v2\/wpdmcategory?post=15791"},{"taxonomy":"wpdmtag","embeddable":true,"href":"https:\/\/www.sling.si\/en\/wp-json\/wp\/v2\/wpdmtag?post=15791"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}