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--- |
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license: mit |
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task_categories: |
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- image-classification |
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language: |
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- en |
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tags: |
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- Multi-Scale |
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- ImageNet |
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- Equivariance |
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size_categories: |
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- 1K<n<10K |
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--- |
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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** (arXiv:2508.14187) published in ICV 2025. |
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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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