| datasets: | |
| - wangyi111/Copernicus-Pretrain | |
| - wangyi111/Copernicus-Bench | |
| license: cc-by-4.0 | |
| pipeline_tag: image-feature-extraction | |
| tags: | |
| - earth-observation | |
| - remote-sensing | |
| - sentinel | |
| - foundation-model | |
| library_name: transformers | |
| ```markdown | |
| # Model Card for Copernicus-FM | |
| <!-- Provide a quick summary of what the model is/does. --> | |
| [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. | |
| ## Model Description | |
| ## Uses | |
| ## Related Sources | |
| <!-- Provide the basic links for the model. --> | |
| - **Repository:** https://github.com/zhu-xlab/Copernicus-FM | |
| - **Paper:** https://arxiv.org/abs/2503.11849 | |
| ## Citation | |
| <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> | |
| ```bibtex | |
| @misc{wang2025unifiedcopernicusfoundationmodel, | |
| title={Towards a Unified Copernicus Foundation Model for Earth Vision}, | |
| 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}, | |
| year={2025}, | |
| eprint={2503.11849}, | |
| archivePrefix={arXiv}, | |
| primaryClass={cs.CV}, | |
| url={https://arxiv.org/abs/2503.11849}, | |
| } | |
| ``` | |
| ``` |