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Commit 7d49c3b

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add GTR to algorithm papers and TAO-OW to datasets
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‎README-zh.md‎

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- [Path Track](#path-track)
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- [TAO](#tao)
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- [GMOT-40](#gmot-40)
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- [TAO-OW](#tao-ow)
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- [KITTI-Tracking](#kitti-tracking)
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- [APOLLOSCAPE](#apolloscape)
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- [APOLLO Dection/Tracking](#apollo-dectiontracking)
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**OC-SORT**: Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking [[code](https://github.com/noahcao/OC_SORT)] [[paper](https://arxiv.org/pdf/2203.14360.pdf)]
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**GTR**: Global Tracking Transformers [[code](https://github.com/xingyizhou/GTR)] [[paper](https://arxiv.org/pdf/2203.13250.pdf)] **CVPR 2022**
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**StrongSORT**: StrongSORT: Make DeepSORT Great Again [[code](https://github.com/dyhBUPT/StrongSORT)] [[paper](https://arxiv.org/pdf/2202.13514.pdf)]
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**MAA**: Modelling Ambiguous Assignments for Multi-Person Tracking in Crowds [[code]] [[paper](https://openaccess.thecvf.com/content/WACV2022W/HADCV/papers/Stadler_Modelling_Ambiguous_Assignments_for_Multi-Person_Tracking_in_Crowds_WACVW_2022_paper.pdf)]
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![GMOT-40](/assets/GMOT-40.png)
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遗憾的是,作者要等到论文收录之后再公开数据集。
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<a id="markdown-tao-ow" name="tao-ow"></a>
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### TAO-OW
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MOTChallenge团队和其他人一起提出的开放世界多目标跟踪,包括数据集、基准提交网站、提出指标,推动了MOT的开放世界任务的发展。
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![TAO-OW](/assets/TAOOW.jpg)
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地址为[https://openworldtracking.github.io/](https://openworldtracking.github.io/)。
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以下是驾驶场景下的数据集

‎README.md‎

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**OC-SORT**: Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking [[code](https://github.com/noahcao/OC_SORT)] [[paper](https://arxiv.org/pdf/2203.14360.pdf)]
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**GTR**: Global Tracking Transformers [[code](https://github.com/xingyizhou/GTR)] [[paper](https://arxiv.org/pdf/2203.13250.pdf)] **CVPR 2022**
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**StrongSORT**: StrongSORT: Make DeepSORT Great Again [[code](https://github.com/dyhBUPT/StrongSORT)] [[paper](https://arxiv.org/pdf/2202.13514.pdf)]
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**MAA**: Modelling Ambiguous Assignments for Multi-Person Tracking in Crowds [[code]()] [[paper](https://openaccess.thecvf.com/content/WACV2022W/HADCV/papers/Stadler_Modelling_Ambiguous_Assignments_for_Multi-Person_Tracking_in_Crowds_WACVW_2022_paper.pdf)]
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Path Track [[url]](https://www.trace.ethz.ch/publications/2017/pathtrack/index.html)<br>
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TAO [[url]](https://github.com/TAO-Dataset/tao)<br>
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GMOT40 [[url]](https://arxiv.org/abs/2011.11858)<br>
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TAO-OW [[url](https://openworldtracking.github.io/)]<br>
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<a id="markdown-driving-scenarios" name="driving-scenarios"></a>

‎assets/TAOOW.jpg‎

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