minor fix in readme

README.md

@@ -5,6 +5,15 @@
 
 [Dahun Kim](https://mcahny.github.io/), [Tsung-Yi Lin](https://scholar.google.com/citations?user=_BPdgV0AAAAJ), [Anelia Angelova](https://scholar.google.co.kr/citations?user=nkmDOPgAAAAJ), [In So Kweon](https://rcv.kaist.ac.kr), and [Weicheng Kuo](https://weichengkuo.github.io/).
 
+```bibtex
+@article{kim2021oln,
+  title={Learning Open-World Object Proposals without Learning to Classify},
+  author={Kim, Dahun and Lin, Tsung-Yi and Angelova, Anelia and Kweon, In So and Kuo, Weicheng},
+  journal={arXiv preprint arXiv:2108.06753},
+  year={2021}
+}
+```
+
 
 ## Introduction
 
@@ -22,20 +31,6 @@ We train OLN on COCO VOC categories, and test on non-VOC categories. Note our AR
 |    OLN-Box     | 24.8  | 18.0  | 26.4  |  33.4  |  39.0  |  45.0   | [model](https://drive.google.com/uc?id=1uL6TRhpSILvWeR6DZ0x9K9VywrQXQvq9) |
 
 
-## Citation
-
-If you use this toolbox or benchmark in your research, please cite this project.
-
-```bibtex
-@article{kim2021oln,
-  title={Learning Open-World Object Proposals without Learning to Classify},
-  author={Kim, Dahun and Lin, Tsung-Yi and Angelova, Anelia and Kweon, In So and Kuo, Weicheng},
-  journal={arXiv preprint arXiv:2108.06753},
-  year={2021}
-}
-```
-
-
 ## Disclaimer
 
 This repo is tested under Python 3.7, PyTorch 1.7.0, Cuda 11.0, and mmcv==1.2.5.