Card: link the ERISLab collection
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README.md
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@@ -15,7 +15,8 @@ These are the checkpoints behind *Fine-Grained Image Recognition from Scratch wi
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249 checkpoints, one per configuration, each the last epoch of one training seed. Each file
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is a `torch.save` dict with `config` (the full training configuration), `model` (the state dict),
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`accuracy` and `epoch`, with no optimizer state. File names are the runs' experiment-log names,
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ending in the serial. Load them with [fgir-zoo](https://github.com/arkel23/fgir-zoo).
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## Layout
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249 checkpoints, one per configuration, each the last epoch of one training seed. Each file
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is a `torch.save` dict with `config` (the full training configuration), `model` (the state dict),
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`accuracy` and `epoch`, with no optimizer state. File names are the runs' experiment-log names,
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ending in the serial. Load them with [fgir-zoo](https://github.com/arkel23/fgir-zoo). The
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[collection](https://huggingface.co/collections/ERISLab/tgda-fgir-from-scratch-with-teacher-guided-augmentation-6ab32cd151f4fc1063b55f64) groups this repo with the paper.
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## Layout
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