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@@ -5,7 +5,7 @@ This is a PyTorch implementation of **Mugs** proposed by our paper "**Mugs: A Mu
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  [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/mugs-a-multi-granular-self-supervised/self-supervised-image-classification-on)](https://paperswithcode.com/sota/self-supervised-image-classification-on?p=mugs-a-multi-granular-self-supervised)
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  <div align="center">
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- <img width="100%" alt="Overall framework of Mugs. " src="./exp_illustration/framework.png">
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  </div>
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  **<p align="center">Fig 1. Overall framework of Mugs.** In (a), for each image, two random crops of one image
 
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  [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/mugs-a-multi-granular-self-supervised/self-supervised-image-classification-on)](https://paperswithcode.com/sota/self-supervised-image-classification-on?p=mugs-a-multi-granular-self-supervised)
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  <div align="center">
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+ <img width="100%" alt="Overall framework of Mugs. " src="https://huggingface.co/zhoupans/Mugs_ViT_large_pretrained/blob/main/exp_illustration/framework.png">
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  </div>
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  **<p align="center">Fig 1. Overall framework of Mugs.** In (a), for each image, two random crops of one image