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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 1024x1024 px.
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  Some images have multiple labels.
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- All annotations were done or checked by Anthony Fuller who published it at NeurIPS 2024.
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- citation:
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- @inproceedings{
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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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+ }