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README.md
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## Short description:
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ViT and other Transformer based architectures
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## Model and Dataset used
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## Short description:
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ViT and other Transformer based architectures break down images into patches. As we increase the resolution of the images, the number of patches increases as well. To tackle this, Ryoo et al. introduced a new module called TokenLearner which can help reduce the number of patches used. The full paper can be found [here](https://openreview.net/forum?id=z-l1kpDXs88)
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## Model and Dataset used
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