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README.md
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- L1: 0.01
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- Orthogonal: 0.001
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- Coherence: 0.003
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- Training set size: 5994
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- Push set size: N/A
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- Test set size: 5794
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- Batch size: 128
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## Dataset Description
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Fine-grained bird species classification dataset with 200 different bird species
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Dataset link: https://www.
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## Usage
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## Additional Information
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- L1: 0.01
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- Orthogonal: 0.001
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- Coherence: 0.003
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- Batch size: 128
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## Dataset Description
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Fine-grained bird species classification dataset with 200 different bird species
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Dataset link: https://www.vision.caltech.edu/datasets/cub_200_2011/
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## Usage
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## Additional Information
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Github repo by authors of the paper ![GitHub repository][https://github.com/Henrymachiyu/ProtoViT]
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For more details about the implementation and training process, please visit the my fork of ProtoVit ![GitHub repository][https://github.com/ayushnangia/ProtoViT].
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