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@@ -26,7 +26,11 @@ Edward Fish, Richard Bowden, CVSSP – University of Surrey (arXiv:2506.00129, M
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  **Paper** <https://arxiv.org/pdf/2506.00129v1>
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  ## Code Use
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- Download the weights and data labels from the files section of this repo and add them to the github repository <https://github.com/ed-fish/geo-sign> under the correct folders (data, checkpoints).
 
 
 
 
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  ## TL;DR
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  Geo-Sign projects pose-based sign-language features into a learnable **Poincaré ball** and aligns them with text embeddings via a geometric contrastive loss.
 
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  **Paper** <https://arxiv.org/pdf/2506.00129v1>
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  ## Code Use
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+ Download the weights and data labels from the files section of this repo and add them to the github repository <https://github.com/ed-fish/geo-sign>.
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+ Data -> ./Data
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+ best.pth -> ./checkpoints/best.pth
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+ pretraining.pth -> ./checkpoints/pretraining.pth
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+ pretrained_weight/ -> ./pretrained_weight
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  ## TL;DR
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  Geo-Sign projects pose-based sign-language features into a learnable **Poincaré ball** and aligns them with text embeddings via a geometric contrastive loss.