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README.md

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@@ -13,7 +13,7 @@ Our project focuses on developing a machine learning solution to detect noise in
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Our model architecture is based on a vision transformer (DINOv2 base) backbone with register tokens with a segmentation head. The frozen backbone encodes the input image which is then processed by the segmentation head to generate pixel-wise predictions. The following diagram illustrates our model architecture:
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<p align="center">
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<img src="assets/images/model_architecture.png" width="100%"/>
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<img src="assets/images/model_architecture.svg" width="100%"/>
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</p>
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