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      <title>Reports</title>
      <link>https://aidanmonfort.github.io/reports</link>
      <description>Last 10 notes on Reports</description>
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    <title>index</title>
    <link>https://aidanmonfort.github.io/reports/</link>
    <guid>https://aidanmonfort.github.io/reports/</guid>
    <description><![CDATA[ Here is a site for some reporting stuff. Report-Data Cleaning, MobileSAM, Deeplab Most Recent Report . ]]></description>
    <pubDate>Thu, 16 Apr 2026 21:37:03 GMT</pubDate>
  </item><item>
    <title>Report-Baselines, EfficientSAM, Test Data</title>
    <link>https://aidanmonfort.github.io/reports/Report-Baselines,-EfficientSAM,-Test-Data</link>
    <guid>https://aidanmonfort.github.io/reports/Report-Baselines,-EfficientSAM,-Test-Data</guid>
    <description><![CDATA[  EfficientSAM Model from Meta. Paper It is essentially the same as the MobileSAM model, but with a Masked Pretraining objective. ]]></description>
    <pubDate>Wed, 15 Apr 2026 13:08:00 GMT</pubDate>
  </item><item>
    <title>Report-Data Cleaning, MobileSAM, Deeplab</title>
    <link>https://aidanmonfort.github.io/reports/Report-Data-Cleaning,-MobileSAM,-Deeplab</link>
    <guid>https://aidanmonfort.github.io/reports/Report-Data-Cleaning,-MobileSAM,-Deeplab</guid>
    <description><![CDATA[  From Last Time, across all experiments, SAM models, TV Loss scales. mIoU tends to converge towards .70 at the higher end. ]]></description>
    <pubDate>Thu, 02 Apr 2026 12:32:00 GMT</pubDate>
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