Numbering in News

README.md

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 # Simple Baselines for Human Pose Estimation and Tracking
 
 ## News
-Our entry using this repo has won the winner of [PoseTrack2018 Multi-person Pose Tracking Challenge](https://posetrack.net/workshops/eccv2018/posetrack_eccv_2018_results.html)!<br>
-Our entry using this repo ranked 2nd place in the [keypoint detection task of COCO 2018](http://cocodataset.org/#keypoints-leaderboard)!
+1. Our entry using this repo has won the winner of [PoseTrack2018 Multi-person Pose Tracking Challenge](https://posetrack.net/workshops/eccv2018/posetrack_eccv_2018_results.html)!<br>
+2. Our entry using this repo ranked 2nd place in the [keypoint detection task of COCO 2018](http://cocodataset.org/#keypoints-leaderboard)!
 
 ## Introduction
 This is an official pytorch implementation of [*Simple Baselines for Human Pose Estimation and Tracking*](https://arxiv.org/abs/1804.06208). This work provides baseline methods that are surprisingly simple and effective, thus helpful for inspiring and evaluating new ideas for the field. State-of-the-art results are achieved on challenging benchmarks. On COCO keypoints valid dataset, our best **single model** achieves **74.3 of mAP**. You can reproduce our results using this repo. All models are provided for research purpose.    </br>