Card: link the ERISLab collection
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README.md
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@@ -20,6 +20,8 @@ set of runs, and compares accuracy against training and inference cost. Training
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[arkel23/fgir-zoo](https://github.com/arkel23/fgir-zoo).
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825 checkpoints, one per (dataset, backbone, strategy, image size), each from one training seed.
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## Strategies
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[arkel23/fgir-zoo](https://github.com/arkel23/fgir-zoo).
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825 checkpoints, one per (dataset, backbone, strategy, image size), each from one training seed.
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The collection [FGIR-Backbones (FGVC13 @ CVPR 2026)](https://huggingface.co/collections/ERISLab/fgir-backbones-fgvc13-cvpr-2026-6ab234cc19fcfd2de1f796a4) groups this repo with the
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paper.
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## Strategies
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