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@@ -29,6 +29,8 @@ The model was pretrained using **SimCLR with a ResNet-18 backbone** and served a
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  Training was implemented using the [Lightly self-supervised learning framework](https://docs.lightly.ai/self-supervised-learning/index.html). The training images were obtained from the [`evanarlian/imagenet_1k_resized_256`](https://huggingface.co/datasets/evanarlian/imagenet_1k_resized_256) dataset on Hugging Face.
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  ## Model Architecture
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  The model uses a standard **ResNet-18** encoder with the classification head removed.
 
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  Training was implemented using the [Lightly self-supervised learning framework](https://docs.lightly.ai/self-supervised-learning/index.html). The training images were obtained from the [`evanarlian/imagenet_1k_resized_256`](https://huggingface.co/datasets/evanarlian/imagenet_1k_resized_256) dataset on Hugging Face.
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+ **Code, preprocessing, analysis, and other related material associated with the paper are hosted on Github:** [DM-Diaz/eccentricity-constrained-simclr](https://github.com/DM-Diaz/eccentricity-constrained-simclr)
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  ## Model Architecture
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  The model uses a standard **ResNet-18** encoder with the classification head removed.