Update README.md

README.md

@@ -7,33 +7,38 @@ sdk: static
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+_By [Aritra Roy Gosthipaty](https://github.com/ariG23498) and [Sayak Paul](https://github.com/sayakpaul) (equal contribution)_
+
 | DINO | Dog |
 | :--: | :--: |
 | ![dino](https://i.imgur.com/kAShjbs.gif) | ![dog](https://i.imgur.com/xrMkCbg.gif) |
 
-_By [Aritra Roy Gosthipaty](https://github.com/ariG23498) and [Sayak Paul](https://github.com/sayakpaul) (equal contribution)_
 
-<br>
+<hr>
 We probe into the representations learned by different families of Vision Transformers (supervised pre-training with ImageNet-21k, ImageNet-1k, distillation, self-supervised pre-training):
 
-* Original ViT [1] 
-* DeiT [2]
-* DINO [3]
+<ul>
+<li> Original ViT [1] </li>
+<li> DeiT [2] </li>
+<li> DINO [3] </li>
+</ul>
 
 We hope these tools will prove to be useful for the community. Please follow along with [this post on keras.io](https://keras.io/examples/vision/probing_vits/) for a better navigation through the repository. 
 
 <br>
-## References
+References
 
-[1] An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale:  [https://arxiv.org/abs/2010.11929](https://arxiv.org/abs/2010.11929)
-
-[2] DeiT: https://arxiv.org/abs/2012.12877
-
-[3] DINO: https://arxiv.org/abs/2104.14294
+<ol>
+<li> [1] An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale:  [https://arxiv.org/abs/2010.11929](https://arxiv.org/abs/2010.11929) </li>
+<li> [2] DeiT: https://arxiv.org/abs/2012.12877 </li>
+<li> [3] DINO: https://arxiv.org/abs/2104.14294 </li>
+</ol>
+<br>
 
 <br>
-## Acknowledgements
 
-- [PyImageSearch](https://pyimagesearch.com)
-- [Jarvislabs.ai](https://jarvislabs.ai/)
-- [GDE Program](https://developers.google.com/programs/experts/)
+<ul>
+<li> [PyImageSearch](https://pyimagesearch.com) </li>
+<li> [Jarvislabs.ai](https://jarvislabs.ai/) </li>
+<li> [GDE Program](https://developers.google.com/programs/experts/) </li>
+</ul>