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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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-
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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
@@ -198,6 +190,14 @@ the raw non-curated data collected by cars which, equipped with 📷 cameras and
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  ![teaser](https://drive.google.com/uc?export=view&id=1MkQmAfBPUomJDUikLhM_Wk8VUNekPb91)
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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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  ![teaser](https://drive.google.com/uc?export=view&id=1MkQmAfBPUomJDUikLhM_Wk8VUNekPb91)
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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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+
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  # description += """
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  # ## 📺 Examples
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  #