Update README.md

README.md

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 * BRIGHT also serves as the official dataset of [IEEE GRSS DFC 2025 Track II](https://www.grss-ieee.org/technical-committees/image-analysis-and-data-fusion/).  
 * Please download **dfc25_track2_trainval.zip** and unzip it. It contains training images & labels and validation images.    
 * Benchmark code related to the DFC 2025 can be found at this [Github repo](https://github.com/ChenHongruixuan/BRIGHT).    
-* The official leaderboard is located on the [Codalab-DFC2025-Track II](https://codalab.lisn.upsaclay.fr/competitions/21122) page.    
+* The official leaderboard is located on the [Codalab-DFC2025-Track II](https://codalab.lisn.upsaclay.fr/competitions/21122) page.
   
+  
+**Paper & Reference
+Details of BRIGHT can be refer to our [paper](https://arxiv.org/abs/2501.06019). 
+
+If BRIGHT is useful to research, please kindly consider cite our paper
+``` 
+@article{chen2025bright,
+      title={BRIGHT: A globally distributed multimodal building damage assessment dataset with very-high-resolution for all-weather disaster response}, 
+      author={Hongruixuan Chen and Jian Song and Olivier Dietrich and Clifford Broni-Bediako and Weihao Xuan and Junjue Wang and Xinlei Shao and Yimin Wei and Junshi Xia and Cuiling Lan and Konrad Schindler and Naoto Yokoya},
+      journal={arXiv preprint arXiv:2501.06019},
+      year={2025},
+      url={https://arxiv.org/abs/2501.06019}, 
+}
+```
     
 **License**  
 * Label data of BRIGHT are provided under the same license as the optical images, which varies with different events.