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