Update README.md

README.md

@@ -39,14 +39,11 @@ These models excel in tasks involving large-scale global 3D semantic understandi
 If you find the RS3DAda model useful in your research, please consider citing:
 
 ```
-@misc{song2024synrs3dsyntheticdatasetglobal,
-      title={SynRS3D: A Synthetic Dataset for Global 3D Semantic Understanding from Monocular Remote Sensing Imagery}, 
-      author={Jian Song and Hongruixuan Chen and Weihao Xuan and Junshi Xia and Naoto Yokoya},
-      year={2024},
-      eprint={2406.18151},
-      archivePrefix={arXiv},
-      primaryClass={cs.CV},
-      url={https://arxiv.org/abs/2406.18151}, 
+@article{song2024synrs3d,
+title={SynRS3D: A Synthetic Dataset for Global 3D Semantic Understanding from Monocular Remote Sensing Imagery},
+author={Song, Jian and Chen, Hongruixuan and Xuan, Weihao and Xia, Junshi and Yokoya, Naoto},
+journal={arXiv preprint arXiv:2406.18151},
+year={2024}
 }
 ```