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luigicapogrosso committed Jun 17, 2024
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Expand Up @@ -136,7 +136,7 @@ <h1 class="title is-1 publication-title">Split-Et-Impera: A Framework for the De
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<img src="./static/images/teaser.png" alt="I-SPLIT abstract" type="image/png" style="width: 70%; height: 70%;">
<img src="./static/images/teaser.png" alt="Split-Et-Impera teaser" type="image/png" style="width: 70%; height: 70%;">
<h6 class="subtitle is-6 has-text-centered">
The <i>Split-Et-Impera</i> framework: <i>i)</i> Determine the saliency-based split point candidates.
The inputs are fed into a neural network to extract the saliency maps using the Grad-CAM algorithm at each layer.
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