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app.py
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@@ -177,14 +177,6 @@ description = 'Gradio Demo accompanying paper "Drive&Segment: Unsupervised Seman
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article = """
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<h1 align="center">🚙📷 Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation</h1>
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<h2 align="center">
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<a href="https://vobecant.github.io/DriveAndSegment">project page</a> |
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<a href="#">arXiv</a> |
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<a href="https://huggingface.co/spaces/vobecant/DaS">Gradio</a> |
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<a href="https://colab.research.google.com/drive/126tBVYbt1s0STyv8DKhmLoHKpvWcv33H?usp=sharing">Colab</a> |
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<a href="https://www.youtube.com/watch?v=B9LK-Fxu7ao">video</a>
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</h2>
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## 💫 Highlights
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- 🚫🔬 **Unsupervised semantic segmentation:** Drive&Segments proposes learning semantic segmentation in urban scenes without any manual annotation, just from
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"""
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# description += """
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# ## 📺 Examples
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#
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article = """
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<h1 align="center">🚙📷 Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation</h1>
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## 💫 Highlights
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- 🚫🔬 **Unsupervised semantic segmentation:** Drive&Segments proposes learning semantic segmentation in urban scenes without any manual annotation, just from
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"""
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# <h2 align="center">
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# <a href="https://vobecant.github.io/DriveAndSegment">project page</a> |
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# <a href="#">arXiv</a> |
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# <a href="https://huggingface.co/spaces/vobecant/DaS">Gradio</a> |
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# <a href="https://colab.research.google.com/drive/126tBVYbt1s0STyv8DKhmLoHKpvWcv33H?usp=sharing">Colab</a> |
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# <a href="https://www.youtube.com/watch?v=B9LK-Fxu7ao">video</a>
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# </h2>
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# description += """
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# ## 📺 Examples
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#
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