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@@ -29,7 +29,8 @@ Official code for "SDCL: Students Discrepancy-Informed Correction Learning for S
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The proof for the kl_loss in the code can be found in the document "MICCAI2024_SDCL.pdf".
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## News
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2024/11/12
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2024/11/12
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We provide SDCL model parameters [google drive](https://drive.google.com/file/d/18C5C8VEUnFFZwg-zG6pu1WPC0Bi3GLCe/view?usp=sharing).
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## Requirements
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This repository is based on PyTorch 2.1.0, CUDA 12.1, and Python 3.8. All experiments in our paper were conducted on an NVIDIA GeForce RTX 4090 GPU with an identical experimental setting under Windows.
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