From cb4c23bdca968d8ad31a69e19d7c791857f7d43f Mon Sep 17 00:00:00 2001 From: AshisMaskara Date: Fri, 5 Oct 2018 22:18:32 +0530 Subject: [PATCH] Numbering in News --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index a6d18ce..7884506 100644 --- a/README.md +++ b/README.md @@ -1,8 +1,8 @@ # 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)!
-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)!
+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.