Keras
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  library_name: keras
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  ---
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- This model is a TensorFlow port of DINO ViT B-16 [1]. The backbone of this model was pre-trained using the DINO pretext task. After that its head layer was trained
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  by keeping the backbone frozen. ImageNet-1k dataset was used for training purposes. You can refer to [this notebook](https://github.com/sayakpaul/probing-vits/blob/main/notebooks/load-dino-weights-vitb16.ipynb) to know how the porting was done.
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  ## References
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- [1] Emerging Properties in Self-Supervised Vision Transformers: https://arxiv.org/abs/2104.14294
 
 
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  library_name: keras
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+ This model is a TensorFlow port of DINO [1] ViT B-16 [2]. The backbone of this model was pre-trained using the DINO pretext task. After that its head layer was trained
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  by keeping the backbone frozen. ImageNet-1k dataset was used for training purposes. You can refer to [this notebook](https://github.com/sayakpaul/probing-vits/blob/main/notebooks/load-dino-weights-vitb16.ipynb) to know how the porting was done.
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  ## References
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+ [1] Emerging Properties in Self-Supervised Vision Transformers: https://arxiv.org/abs/2104.14294
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+ [2] An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale: https://arxiv.org/abs/2010.11929