Update README.md

README.md

@@ -1,4 +1,4 @@
-# [YOLOv12: Attention-Centric Real-Time Object Detectors](https://arxiv.org/abs/2502.xxxxx)
+# [YOLOv12: Attention-Centric Real-Time Object Detectors](https://arxiv.org/abs/2502.12524)
 
 
 Official PyTorch implementation of **YOLOv12**.
@@ -8,10 +8,10 @@ Official PyTorch implementation of **YOLOv12**.
   Comparison with popular methods in terms of latency-accuracy (left) and FLOPs-accuracy (right) trade-offs
 </p>
 
-[YOLOv12: Attention-Centric Real-Time Object Detectors](https://arxiv.org/abs/2502.xxxxx)\
+[YOLOv12: Attention-Centric Real-Time Object Detectors](https://arxiv.org/abs/2502.12524)\
 [Yunjie Tian](https://sunsmarterjie.github.io/), [Qixiang Ye](https://people.ucas.ac.cn/~qxye?language=en), and [David Doermann](https://cse.buffalo.edu/~doermann/)
 
-[![arXiv](https://img.shields.io/badge/arXiv-2405.14458-b31b1b.svg)](https://arxiv.org/abs/2502.xxxxx)
+[![arXiv](https://img.shields.io/badge/arXiv-2405.14458-b31b1b.svg)](https://arxiv.org/abs/2502.12524)
 
 ## Updates
 - 2025/02/18: Arxiv 
@@ -124,7 +124,7 @@ The code is based on [ultralytics](https://github.com/ultralytics/ultralytics).
 @article{tian2025yolov12,
   title={YOLOv12: Attention-Centric Real-Time Object Detectors},
   author={Tian, Yunjie and Ye, Qixiang and Doermann, David},
-  journal={arXiv preprint arXiv:2502.xxxxx},
+  journal={arXiv preprint arXiv:2502.12524},
   year={2025}
 }
 ```