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@@ -12,6 +12,10 @@ We provide DeiT checkpoints (Tiny, Small, and Base) at four reduction rates (0.9
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  We also provide ViT-Adapter checkpoints (Tiny and Small) for the COCO 2017 object detection and segementation task, for both the ATC and ToMe token reduction methods.
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  ### More Resources
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  - **Repository:** [https://github.com/JoakimHaurum/ATC](https://github.com/JoakimHaurum/ATC)
 
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  We also provide ViT-Adapter checkpoints (Tiny and Small) for the COCO 2017 object detection and segementation task, for both the ATC and ToMe token reduction methods.
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+ ### Model Description
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+ - **Developed by:** Joakim Bruslund Haurum, Sergio Escalera, Graham W. Taylor, and Thomas B. Moeslund
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+ - **Model type:** Vision Transformers
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+ - **License:** MIT License
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  ### More Resources
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  - **Repository:** [https://github.com/JoakimHaurum/ATC](https://github.com/JoakimHaurum/ATC)