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Copy file name to clipboardExpand all lines: README-zh.md
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@@ -116,6 +116,8 @@ Multiple Object Tracking in Deep Learning Approaches:A Survey [[paper](https://w
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**ByteTrack:** ByteTrack: Multi-Object Tracking by Associating Every Detection Box [[code](https://github.com/ifzhang/ByteTrack)][[paper](https://arxiv.org/pdf/2110.06864.pdf)]**new SOTA**
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**PCAN** Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation [[code](https://github.com/SysCV/pcan)][[paper](https://papers.nips.cc/paper/2021/file/093f65e080a295f8076b1c5722a46aa2-Paper.pdf)]**NeurIPS2021**
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**PermaTrack**: Learning to Track with Object Permanence [[code](https://github.com/TRI-ML/permatrack)][[paper](https://arxiv.org/pdf/2103.14258.pdf)]**ICCV2021**
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**TMOH**: Improving Multiple Pedestrian Tracking by Track Management and Occlusion Handling [code][[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Stadler_Improving_Multiple_Pedestrian_Tracking_by_Track_Management_and_Occlusion_Handling_CVPR_2021_paper.pdf)]**CVPR2021**
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**ByteTrack:** ByteTrack: Multi-Object Tracking by Associating Every Detection Box [[code](https://github.com/ifzhang/ByteTrack)][[paper](https://arxiv.org/pdf/2110.06864.pdf)]**new SOTA**
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**PCAN** Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation [[code](https://github.com/SysCV/pcan)][[paper](https://papers.nips.cc/paper/2021/file/093f65e080a295f8076b1c5722a46aa2-Paper.pdf)]**NeurIPS2021**
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**PermaTrack**: Learning to Track with Object Permanence [[code](https://github.com/TRI-ML/permatrack)][[paper](https://arxiv.org/pdf/2103.14258.pdf)]**ICCV2021**
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**TMOH**: Improving Multiple Pedestrian Tracking by Track Management and Occlusion Handling [code][[paper](https://openaccess.thecvf.com/content/CVPR2021/papers/Stadler_Improving_Multiple_Pedestrian_Tracking_by_Track_Management_and_Occlusion_Handling_CVPR_2021_paper.pdf)]**CVPR2021**
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