ImageNet-HR / README.md
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The high-resolution ImageNet-1K test set called **ImageNet-HR**.
It consists of 5k images (5 images per class) that are all 1024×1024 px.
Some images have multiple labels.
All annotations were done or checked by Anthony Fuller and published at NeurIPS 2024.
## Please Cite
```bibtex
@inproceedings{fuller2024lookhere,
title={LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate},
author={Anthony Fuller and Daniel Kyrollos and Yousef Yassin and James R Green},
booktitle={The Thirty-eighth Annual Conference on Neural Information Processing Systems},
year={2024},
url={https://openreview.net/forum?id=o7DOGbZeyP}
}