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README.md

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-# [YOLOv12: Attention-Centric Real-Time Object Detectors](https://arxiv.org/abs/2502.12524)
-
 
 Official PyTorch implementation of **YOLOv12**.
 
+<div align="center">
+<h1>YOLOv12 </h1>
+<h3>YOLOv12: Attention-Centric Real-Time Object Detectors</h3>
+
+[Yunjie Tian](https://sunsmarterjie.github.io/)<sup>1</sup>, [Qixiang Ye](https://people.ucas.ac.cn/~qxye?language=en)<sup>2</sup>, [David Doermann](https://cse.buffalo.edu/~doermann/)<sup>1</sup>
+
+<sup>1</sup>  University at Buffalo, SUNY, <sup>2</sup> University of Chinese Academy of Sciences.
+
+
 <p align="center">
   <img src="assets/tradeoff.svg" width=90%> <br>
   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/2502.12524)\
-[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-2502.12524-b31b1b.svg)](https://arxiv.org/abs/2502.12524)
 
 ## Updates