Overview

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+    <h2 class="title is-3">Method Overview of BEYOND</h2>
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-        <h2 class="title is-3">Method Overview of BEYOND</h2>
         
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 <section class="section">
   <div class="container is-max-desktop">
+    <h2 class="title is-3">Method Overview of BEYOND</h2>
     <div class="columns is-centered">
-      <div class="column has-text-centered">
-        <h2 class="title is-3">Method Overview of BEYOND</h2>
-        
+      <div class="column container-centered">
+        <img src="./static/images/overview.pdf" class="method_overview"
+        alt="Method Overview of BEYOND"/>
+        <p><strong>Figure 1.</strong> Overview of <strong>BEYOND</strong>. First, we augment the input image to obtain a bunch of its neighbors. Then, we
+          perform the label consistency detection mechanism on the classifier’s prediction of the input image and that of neighbors predicted by
+          SSL’s classification head. Meanwhile, the representation similarity mechanism employs cosine distance to measure the similarity among
+          the input image and its neighbors. Finally, The input image with poor label consistency or representation similarity is flagged as AE.</p>
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