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overview
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- static/images/overview.pdf +0 -0
- static/images/overview.png +0 -0
index.html
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<section class="section">
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<h2 class="title is-3">Introduction</h2>
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<section class="section">
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<h2 class="title is-3">Method Overview of BEYOND</h2>
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<section class="section">
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<h2 class="title is-3">Method Overview of BEYOND</h2>
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<img src="./static/images/overview.
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alt="Method Overview of BEYOND"/>
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<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
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perform the label consistency detection mechanism on the classifier’s prediction of the input image and that of neighbors predicted by
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<section class="section">
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<h2 class="title is-3">Introduction</h2>
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<section class="section">
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<div class="container is-max-desktop">
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<h2 class="title is-3">Method Overview of BEYOND</h2>
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<div class="columns is-centered">
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<div class="column container-centered">
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<img src="./static/images/overview.png" class="method_overview"
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alt="Method Overview of BEYOND"/>
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<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
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perform the label consistency detection mechanism on the classifier’s prediction of the input image and that of neighbors predicted by
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static/images/overview.pdf
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static/images/overview.png
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