Update README.md

README.md

@@ -2,17 +2,19 @@
 license: cc-by-4.0
 datasets:
 - wangyi111/Copernicus-Pretrain
+- wangyi111/Copernicus-Bench
 tags:
 - earth-observation
 - remote-sensing
 - sentinel
 - foundation-model
+pipeline_tag: image-feature-extraction
 ---
 # Model Card for Copernicus-FM
 
 <!-- Provide a quick summary of what the model is/does. -->
 
-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.
+[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 Details
 
@@ -164,5 +166,14 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
 <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
 
 **BibTeX:**
-
-[More Information Needed]
+```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}, 
+}
+```