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--- |
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datasets: |
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- wangyi111/Copernicus-Pretrain |
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- wangyi111/Copernicus-Bench |
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license: cc-by-4.0 |
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pipeline_tag: image-feature-extraction |
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tags: |
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- earth-observation |
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- remote-sensing |
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- sentinel |
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- foundation-model |
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--- |
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# Model Card for Copernicus-FM |
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<!-- Provide a quick summary of what the model is/does. --> |
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[Copernicus-FM](https://github.com/zhu-xlab/Copernicus-FM) is an extension of the [DOFA](https://github.com/zhu-xlab/DOFA) foundation model, able to process any spectral or non-spectral sensor modality using extended dynamic hypernetworks and flexible metadata encoding. The model is pretrained on the Copernicus-Pretrain dataset with masked image modeling and continual distillation. |
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## Model Description |
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## Uses |
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## Related Sources |
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<!-- Provide the basic links for the model. --> |
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- **Repository:** https://github.com/zhu-xlab/Copernicus-FM |
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- **Paper:** https://arxiv.org/abs/2503.11849 |
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## Citation |
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<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> |
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```bibtex |
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@misc{wang2025unifiedcopernicusfoundationmodel, |
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title={Towards a Unified Copernicus Foundation Model for Earth Vision}, |
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author={Yi Wang and Zhitong Xiong and Chenying Liu and Adam J. Stewart and Thomas Dujardin and Nikolaos Ioannis Bountos and Angelos Zavras and Franziska Gerken and Ioannis Papoutsis and Laura Leal-Taixé and Xiao Xiang Zhu}, |
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year={2025}, |
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eprint={2503.11849}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CV}, |
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url={https://arxiv.org/abs/2503.11849}, |
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} |
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``` |
