<?xml version="1.0"?>
<rss version="2.0">
   <channel>
      <title>Qs for Multimodal Dialogue State Tracking by SSNLP 2022</title>
      <link>https://padlet.com/ssnlp22/3a_2</link>
      <description>SSNLP &#39;22 Session 3A-2</description>
      <language>en-us</language>
      <pubDate>2022-05-12 14:51:40 UTC</pubDate>
      <lastBuildDate>2022-05-12 16:53:52 UTC</lastBuildDate>
      <webMaster>hello@padlet.com</webMaster>
      <image>
         <url></url>
      </image>
      <item>
         <title>Ask via https://padlet.com/ssnlp22/3a_2</title>
         <author>ssnlp22</author>
         <link>https://padlet.com/ssnlp22/3a_2/wish/2181408212</link>
         <description><![CDATA[]]></description>
         <enclosure url="https://padlet-uploads.storage.googleapis.com/1693011905/98180c41ad03465ace01e78ba6201a59/image.png" />
         <pubDate>2022-05-12 14:52:56 UTC</pubDate>
         <guid>https://padlet.com/ssnlp22/3a_2/wish/2181408212</guid>
      </item>
      <item>
         <title>Is the DVD dataset done on synthetic object videos?</title>
         <author>ssnlp22</author>
         <link>https://padlet.com/ssnlp22/3a_2/wish/2181537964</link>
         <description><![CDATA[<div>How do you expect that the model will fare against naturalistic video (e.g., from camera phones)?</div>]]></description>
         <enclosure url="" />
         <pubDate>2022-05-12 16:09:07 UTC</pubDate>
         <guid>https://padlet.com/ssnlp22/3a_2/wish/2181537964</guid>
      </item>
      <item>
         <title>Would the self-supervised setting also work with naturalistic videos?</title>
         <author>ssnlp22</author>
         <link>https://padlet.com/ssnlp22/3a_2/wish/2181541883</link>
         <description><![CDATA[<div>Do the simple types of objects in the dataset lend themselves to higher-fidelity video modeling with VDTN?</div>]]></description>
         <enclosure url="" />
         <pubDate>2022-05-12 16:11:42 UTC</pubDate>
         <guid>https://padlet.com/ssnlp22/3a_2/wish/2181541883</guid>
      </item>
   </channel>
</rss>
