{"version":"1.0","provider_name":"Open-world Panoptic LiDAR Segmentation\t\t","provider_url":"https:\/\/mscvprojects.ri.cmu.edu\/2022team1","title":"Task Formulation - Open-world Panoptic LiDAR Segmentation","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"tFpLn8bf2S\"><a href=\"https:\/\/mscvprojects.ri.cmu.edu\/2022team1\/method-2\/\">Task Formulation<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/mscvprojects.ri.cmu.edu\/2022team1\/method-2\/embed\/#?secret=tFpLn8bf2S\" width=\"600\" height=\"338\" title=\"&#8220;Task Formulation&#8221; &#8212; Open-world Panoptic LiDAR Segmentation\t\t\" data-secret=\"tFpLn8bf2S\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/mscvprojects.ri.cmu.edu\/2022team1\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","description":"Datasets For LiPSOW, we use two datasets: Semantic-KITTI [1] and KITTI-360 [2]. The two datasets are recorded in Karlsruhe, Germany using the same sensor setup. However, they consist of different parts of the city (with no overlap), different weather conditions, and are collected several years apart. More importantly, they consist of different class vocabularies, with &hellip; Continue reading \"\"","thumbnail_url":"https:\/\/mscvprojects.ri.cmu.edu\/2022team1\/wp-content\/uploads\/sites\/56\/2022\/12\/Screenshot-2022-12-16-at-12.13.40-AM-1024x373.png"}