{"id":425,"date":"2020-11-17T21:41:42","date_gmt":"2020-11-17T21:41:42","guid":{"rendered":"http:\/\/www.graz.ai\/?p=425"},"modified":"2020-11-17T21:41:42","modified_gmt":"2020-11-17T21:41:42","slug":"meetup-self-supervised-learning-for-computer-vision-simclr-moco-swav-co","status":"publish","type":"post","link":"https:\/\/www.graz.ai\/index.php\/2020\/11\/17\/meetup-self-supervised-learning-for-computer-vision-simclr-moco-swav-co\/","title":{"rendered":"Meetup: Self-supervised learning for computer vision: SimCLR, MoCo, SwAV &#038; Co."},"content":{"rendered":"\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" src=\"https:\/\/www.graz.ai\/wp-content\/uploads\/2020\/11\/Deep-Learning-Meet-Up-18.11.png\" alt=\"\" class=\"wp-image-435\" width=\"691\" height=\"389\" srcset=\"https:\/\/www.graz.ai\/wp-content\/uploads\/2020\/11\/Deep-Learning-Meet-Up-18.11.png 600w, https:\/\/www.graz.ai\/wp-content\/uploads\/2020\/11\/Deep-Learning-Meet-Up-18.11-300x169.png 300w\" sizes=\"(max-width: 691px) 100vw, 691px\" \/><\/figure>\n\n\n\n<p>This presentation will give a brief introduction to <em>contextflow<\/em>, a leading AI in radiology company based in Vienna, before moving on to discussing self-supervised learning for computer vision. The concept behind self-supervised learning will be explained and it will be taken a look at the setup of current state-of-the-art methods, e.g. SimCLR, MoCo, and SwAV. Finally, possible future directions will be illustrated, followed by a QnA on discord.<\/p>\n\n\n\n<p><a href=\"https:\/\/www.meetup.com\/de-DE\/DeepLearningGraz\/events\/274411288\/\">https:\/\/www.meetup.com\/de-DE\/DeepLearningGraz\/events\/274411288\/<\/a><\/p>\n\n\n\n<p><a href=\"https:\/\/www.twitch.tv\/deeplearninggraz\">https:\/\/www.twitch.tv\/deeplearninggraz<\/a><\/p>\n\n\n\n<p>Bring your friends!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This presentation will give a brief introduction to contextflow, a leading AI in radiology company based in Vienna, before moving on to discussing self-supervised learning for computer vision. The concept behind self-supervised learning will be explained and it will be taken a look at the setup of current state-of-the-art methods, e.g. SimCLR, MoCo, and SwAV. [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[5],"tags":[],"_links":{"self":[{"href":"https:\/\/www.graz.ai\/index.php\/wp-json\/wp\/v2\/posts\/425"}],"collection":[{"href":"https:\/\/www.graz.ai\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.graz.ai\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.graz.ai\/index.php\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/www.graz.ai\/index.php\/wp-json\/wp\/v2\/comments?post=425"}],"version-history":[{"count":5,"href":"https:\/\/www.graz.ai\/index.php\/wp-json\/wp\/v2\/posts\/425\/revisions"}],"predecessor-version":[{"id":485,"href":"https:\/\/www.graz.ai\/index.php\/wp-json\/wp\/v2\/posts\/425\/revisions\/485"}],"wp:attachment":[{"href":"https:\/\/www.graz.ai\/index.php\/wp-json\/wp\/v2\/media?parent=425"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.graz.ai\/index.php\/wp-json\/wp\/v2\/categories?post=425"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.graz.ai\/index.php\/wp-json\/wp\/v2\/tags?post=425"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}