antofuller/ImageNet-HR

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

@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}
}