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Jeff-sjtu committed Mar 23, 2019
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Expand Up @@ -14,6 +14,7 @@ If you find our works useful in your reasearch, please consider citing:
year={2018}
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## Introduction
This is the official repo of **CVPR2019** paper [*CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark*](https://arxiv.org/abs/1812.00324). Our proposed method surpasses the state-of-the-art methods on CrowdPose dataset by **5** mAP and results on MSCOCO dataset demonstrate the generalization ability of our method (comparatively **0.8** mAP higher). Images in our proposed CrowdPose dataset have a uniform distribution of *Crowd Index* among \[0, 1\].

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