Datasets:
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README.md
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- Equivariance
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size_categories:
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- 1K<n<10K
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- Equivariance
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size_categories:
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| Global Scaling | Local Scaling |
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|----------------|---------------|
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| <img src="https://raw.githubusercontent.com/ashiq24/local-scale-equivariance/refs/heads/gh-pages/assets/bird_1_gscale.gif" width="450"/> | <img src="https://raw.githubusercontent.com/ashiq24/local-scale-equivariance/refs/heads/gh-pages/assets/bird_1.gif" width="450"/> |
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# Multi-Scale_ImageNet
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The dataset contains multi-scale ImageNet from **Local Scale Equivariance with Latent Deep Equilibrium Canonicalizer**.
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The dataset generating pipeline is provided here: https://github.com/ashiq24/local-scale-equivariance/tree/main/datagen_ImNet
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## Pipeline Overview
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If you use this dataset, please consider citing
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```
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@inproceedings{rahman2025local,
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title={Local Scale Equivariance with Latent Deep Equilibrium Canonicalizer},
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author={Rahman, Md Ashiqur and Yang, Chiao-An and Cheng, Michael N. and Lim, Jun Hao and Jiang, Jeremiah and Lim, Teck-Yian and Yeh, Raymond A.},
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booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
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year={2025}
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}
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```
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