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update readme

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  - deep learning
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- # Self-supervised ViT-S/16 (small-sized Vision Transformer with patch size 16) model with SimPool.
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  ViT-S model with SimPool (gamma=1.25) trained on ImageNet-1k for 100 epochs. Self-supervision with DINO.
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  SimPool is a simple attention-based pooling method at the end of network, introduced on this ICCV 2023 [paper](https://arxiv.org/pdf/2309.06891.pdf) and released in this [repository](https://github.com/billpsomas/simpool/).
 
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  - deep learning
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+ # Self-supervised ViT-S/16 (small-sized Vision Transformer with patch size 16) model with SimPool
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  ViT-S model with SimPool (gamma=1.25) trained on ImageNet-1k for 100 epochs. Self-supervision with DINO.
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  SimPool is a simple attention-based pooling method at the end of network, introduced on this ICCV 2023 [paper](https://arxiv.org/pdf/2309.06891.pdf) and released in this [repository](https://github.com/billpsomas/simpool/).