
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
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.

## References

[1] Emerging Properties in Self-Supervised Vision Transformers: https://arxiv.org/abs/2104.14294

[2] An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale: https://arxiv.org/abs/2010.11929
{"library_name": "keras"}
keras arxiv:2104.14294 arxiv:2010.11929 has_space region:us
TAGS
#keras #arxiv-2104.14294 #arxiv-2010.11929 #has_space #region-us 


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
by keeping the backbone frozen. ImageNet-1k dataset was used for training purposes. You can refer to this notebook to know how the porting was done.

## References

[1] Emerging Properties in Self-Supervised Vision Transformers: URL

[2] An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale: URL
## References

[1] Emerging Properties in Self-Supervised Vision Transformers: URL

[2] An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale: URL
TAGS
#keras #arxiv-2104.14294 #arxiv-2010.11929 #has_space #region-us 
 ## References

[1] Emerging Properties in Self-Supervised Vision Transformers: URL

[2] An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale: URL
passage: TAGS
#keras #arxiv-2104.14294 #arxiv-2010.11929 #has_space #region-us 
## References

[1] Emerging Properties in Self-Supervised Vision Transformers: URL

[2] An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale: URL