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https://github.com/NVIDIAAICITYCHALLENGE/2020AICITY_Code_From_Top_Teams

The code from the top teams in the 2020 AI City Challenge
https://github.com/NVIDIAAICITYCHALLENGE/2020AICITY_Code_From_Top_Teams

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The code from the top teams in the 2020 AI City Challenge

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# 2020AICITY_Code_From_Top_Teams
The code from the top teams in the 2020 AI City Challenge (not in any particular order)

## Track 1: Multi-Class Multi-Movement Vehicle Counting
* [Baidu](https://github.com/PaddlePaddle/Research/tree/master/CV/VehicleCounting)
* [ENGIE](https://github.com/AndresOsp/Track1)
* [CMU-UTS](https://github.com/Lijun-Yu/zero_virus)
* [DiDi1](https://github.com/liwenwei123/AIC_2020_Challenge_Track-1) (Private)
* [HCMUS](https://github.com/selab-hcmus/AI_City_2020)
* [DCU](https://github.com/adityabansal98/AI_City_Track1_Insight-DCU)
* [DiDi2](https://github.com/Jilliansea/DTTM-Vehicle-Counting)

## Track 2: City-Scale Multi-Camera Vehicle Re-Identification
* [Baidu-UTS1](https://github.com/layumi/AICIty-reID-2020)
* [Baidu-UTS2](https://github.com/PaddlePaddle/Research/tree/master/CV/PaddleReid)
* [RuiyanAI](https://github.com/Xiangyu-CAS/AICity2020-VOC-ReID)
* [ZJU-Alibaba](https://github.com/heshuting555/AICITY2020_DMT_VehicleReID)
* [IOSB](https://github.com/corner100/2020-aicitychallenge-IOSB-VeRi)
* [USTC](https://github.com/zgcr/AICITY2020_track2_reid_BeBetter)
* [TUE](https://github.com/xPlusUltra/vehicle_reid.git) (Private)
* [HCMUS](https://github.com/selab-hcmus/AI_City_2020)
* [CUMT](https://github.com/gggcy/AIC2020_ReID)

## Track 3: City-Scale Multi-Camera Vehicle Tracking
* [CMU](https://github.com/KevinQian97/ELECTRICITY-MTMC)
* [XJTU](https://github.com/GehenHe/AIC20_Alpha) (Private)

## Track 4: Traffic Anomaly Detection
* [Baidu-SYSU](https://github.com/PaddlePaddle/Research/tree/master/CV/AICity2020-Anomaly-Detection)
* [USF](https://github.com/kevaldoshi17/NVIDIA_AICITY)
* [CET](https://github.com/cetcvlab/AICity-2020-CETCVLAB)
* [HCMUS](https://github.com/selab-hcmus/AI_City_2020)