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mtracker

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`@@ -67,6 +67,8 @@ Multiple Object Tracking in Deep Learning Approaches:A Survey [[paper](https://w`
`67`	`67`	`<a id="markdown-2022" name="2022"></a>`
`68`	`68`	`### 2022`
`69`	`69`
	`70`	`+MTracker: Robust Multi-Object Tracking by Marginal Inference [[code]()] [[paper](https://arxiv.org/pdf/2208.03727.pdf)]`
	`71`	`+`
`70`	`72`	`Unicorn: Towards Grand Unification of Object Tracking [[code](https://github.com/MasterBin-IIAU/Unicorn)] [[paper](https://arxiv.org/pdf/2207.07078.pdf)] ECCV2022 Oral`
`71`	`73`
`72`	`74`	`P3AFormer: Tracking Objects as Pixel-wise Distributions [[code](https://sjtuytc.github.io/zelin_pages/p3aformer.html)] [[paper](https://arxiv.org/pdf/2207.05518.pdf)] ECCV2022 oral`

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`@@ -50,6 +50,8 @@ Multiple Object Tracking in Deep Learning Approaches:A Survey [[paper](https://w`
`50`	`50`	`<a id="markdown-2022" name="2022"></a>`
`51`	`51`	`### 2022`
`52`	`52`
	`53`	`+MTracker: Robust Multi-Object Tracking by Marginal Inference [[code]()] [[paper](https://arxiv.org/pdf/2208.03727.pdf)]`
	`54`	`+`
`53`	`55`	`Unicorn: Towards Grand Unification of Object Tracking [[code](https://github.com/MasterBin-IIAU/Unicorn)] [[paper](https://arxiv.org/pdf/2207.07078.pdf)] ECCV2022 Oral`
`54`	`56`
`55`	`57`	`P3AFormer: Tracking Objects as Pixel-wise Distributions [[code](https://sjtuytc.github.io/zelin_pages/p3aformer.html)] [[paper](https://arxiv.org/pdf/2207.05518.pdf)] ECCV2022 oral`

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