{"id":107119,"date":"2020-05-15T12:23:26","date_gmt":"2020-05-15T19:23:26","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2020\/05\/new-deep-learning-research-breaks-records-in-image-recognition-ability-of-self-driving-cars"},"modified":"2020-05-15T12:23:26","modified_gmt":"2020-05-15T19:23:26","slug":"new-deep-learning-research-breaks-records-in-image-recognition-ability-of-self-driving-cars","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2020\/05\/new-deep-learning-research-breaks-records-in-image-recognition-ability-of-self-driving-cars","title":{"rendered":"New Deep Learning Research Breaks Records In Image Recognition Ability Of Self-Driving Cars"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/new-deep-learning-research-breaks-records-in-image-recognition-ability-of-self-driving-cars.jpg\"><\/a><\/p>\n<p>People, bicycles, cars or road, sky, grass: Which pixels of an image represent distinct foreground persons or objects in front of a self-driving car, and which pixels represent background classes?<\/p>\n<p>This task, known as panoptic segmentation, is a fundamental problem that has applications in numerous fields such as self-driving cars, robotics, augmented reality and even in biomedical image analysis.<\/p>\n<p>At the Department of Computer Science at the University of Freiburg Dr. Abhinav Valada, Assistant Professor for Robot Learning and member of BrainLinks-BrainTools focuses on this research question. Valada and his team have developed the state-of-the-art \u201cEfficientPS\u201d artificial intelligence (AI) model that enables coherent recognition of visual scenes more quickly and effectively.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>People, bicycles, cars or road, sky, grass: Which pixels of an image represent distinct foreground persons or objects in front of a self-driving car, and which pixels represent background classes? This task, known as panoptic segmentation, is a fundamental problem that has applications in numerous fields such as self-driving cars, robotics, augmented reality and even [\u2026]<\/p>\n","protected":false},"author":535,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1498,11,6],"tags":[],"class_list":["post-107119","post","type-post","status-publish","format-standard","hentry","category-augmented-reality","category-biotech-medical","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/107119","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/535"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=107119"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/107119\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=107119"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=107119"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=107119"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}