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README.md
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In correspondence with the code we released on [GitHub](https://github.com/), the usage of the models within our pipeline is described in the repository. Please note that this repository contains only the models for our final results, not for all intermediate results.
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##
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This folder contains the pretrained models, including:
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- **ResNet18 Classification Backbone**: Pretrained on ImageNet.
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- **Binary Road Segmentation Model**: Initialized with the ImageNet classification backbone and trained using cascaded training with Swiss Map data.
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##
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This folder contains the final model weights used for extracting roads from the Siegfried Map.
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This folder contains all the model weights for the final road classification ensemble.
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## Citation
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In correspondence with the code we released on [GitHub](https://github.com/), the usage of the models within our pipeline is described in the repository. Please note that this repository contains only the models for our final results, not for all intermediate results.
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## Pretrained_models
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This folder contains the pretrained models, including:
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- **ResNet18 Classification Backbone**: Pretrained on ImageNet.
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- **Binary Road Segmentation Model**: Initialized with the ImageNet classification backbone and trained using cascaded training with Swiss Map data.
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## Binary_road_segmentation
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This folder contains the final model weights used for extracting roads from the Siegfried Map.
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## Road_classification_ensemble
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This folder contains all the model weights for the final road classification ensemble.
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## Citation
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