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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 |
