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README.md
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@@ -7,4 +7,13 @@ Contains all trained models for the pipeline
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In each directory models are named as follows: "model_epoch_[epoch_number]\_split\_[split_number].pt"
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CSV files indicate the performance while training.
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In each directory models are named as follows: "model_epoch_[epoch_number]\_split\_[split_number].pt"
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CSV files indicate the performance while training.
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Repository is structured as follows:
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- Binet_aug_norm: BiNet model with synthetic images
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- Binet_norm: Standard BiNet model
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- CLAMM_P1_Crossval: 5-fold cross-validation for the CLaMM dataset
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- HIMANIS_P1_Crossval: 5-fold cross-validation for the Himanis dataset
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- MPS_P1_Crossval: 5-fold cross-validation for the MPS dataset
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- SCRIBBLE_P1_Crossval: 5-fold cross-validation for the ScribbleLens dataset
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