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histaug-hoptimus1

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@@ -18,7 +18,7 @@ In practice, the H-optimus-1 variant of HistAug can reconstruct the correspondin
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  This enables training of Multiple Instance Learning (MIL) models with:
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  - ⚡ **Fast augmentation**
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- - 🧠 **Low memory usage** (up to 200k patches in parallel on a single GPU)
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  - 🎛 **Controllable and WSI-consistent augmentations** (bag-wise or patch-wise)
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  Need HistAug for a different foundation model? Explore the full collection: [**HistAug models collection**](https://huggingface.co/collections/sofieneb/histaug-models-68a334437f71d35c7037a54e).
 
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  This enables training of Multiple Instance Learning (MIL) models with:
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  - ⚡ **Fast augmentation**
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+ - 🧠 **Low memory usage** (up to 200k patches in parallel on a single V100 32GB GPU)
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  - 🎛 **Controllable and WSI-consistent augmentations** (bag-wise or patch-wise)
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  Need HistAug for a different foundation model? Explore the full collection: [**HistAug models collection**](https://huggingface.co/collections/sofieneb/histaug-models-68a334437f71d35c7037a54e).