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Jack-ZC8 committed Jun 3, 2024
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Expand Up @@ -100,24 +100,14 @@ <h2 class="subtitle is-3 publication-subtitle">
<span>Paper</span>
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<span class="link-block">
<a href="https://arxiv.org/abs/2403.14168" class="external-link button is-normal is-rounded is-dark">
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<i class="ai ai-arxiv"></i>
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<span>arXiv</span>
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<a href="https://github.com/Jack-ZC8/M3AV-dataset"
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<i class="fab fa-github"></i>
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<span>Code</span>
<span>Github</span>
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<span>Demo</span>
</a>
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<a href="https://github.com/Jack-ZC8/M3AV-dataset/tree/main/benchmarks"
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<p style="font-size:18px">🤖</p>
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<span>Benchmarks</span>
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<section class="section">
<h2 class="title is-3 has-text-centered">Abstract</h2>
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<p>
Publishing open-source academic video recordings is an emergent and prevalent approach to sharing knowledge
online. Such videos carry <b>rich multimodal information</b> including speech, the facial and body movements
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<p>
<b>We release the Multimodal, Multigenre, and Multipurpose Audio-Visual Dataset with Academic Lectures
(🎓M<sup>3</sup>AV) covering a range of academic fields.</b> This dataset contains manually annotated
We release the <b>Multimodal, Multigenre, and Multipurpose Audio-Visual Dataset with Academic Lectures
(🎓M<sup>3</sup>AV)</b> covering a range of academic fields. This dataset contains manually annotated
speech transcriptions, slide text, and additional extracted papers, providing a basis for evaluating AI
models for <b>recognizing multimodal content and understanding academic knowledge</b>. We detail the
creation pipeline and conduct various analyses of the dataset. Furthermore, we build benchmarks and
conduct experiments around the dataset. <b>We find there is still large room for existing models to
improve perceptions and understanding of academic lecture videos.</b>
conduct experiments around the dataset. We find there is still large room for existing models to
<b>improve perceptions and understanding of academic lecture videos.</b>
</p>
</div>
</div>
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