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 # Towards-Realtime-MOT
 **NEWS:** 
-- **[2021.06.01]** A [nice re-implementation](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.1/configs/mot) (and document) by Baidu [PaddlePaddle](https://github.com/PaddlePaddle) team!
+- **[2021.08.19]** A [pure C++ re-implementation](https://github.com/samylee/Towards-Realtime-MOT-Cpp) by [samylee](https://github.com/samylee). Helpful if you want to deploy JDE in your own project!
+- **[2021.06.01]** A [nice re-implementation](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.1/configs/mot) (and document) by Baidu [PaddlePaddle](https://github.com/PaddlePaddle) team.
 - **[2020.07.14]** Our paper is accepted to ECCV 2020!
 - **[2020.01.29]** More models uploaded! The fastest one runs at around **38 FPS!**. 
 - **[2019.10.11]** Training and evaluation data uploaded! Please see [DATASET_ZOO.md](https://github.com/Zhongdao/Towards-Realtime-MOT/blob/master/DATASET_ZOO.md) for details.
@@ -79,7 +80,10 @@ We use 8x Nvidia Titan Xp to train the model, with a batch size of 32. You can a
 Adding custom datsets is quite simple, all you need to do is to organize your annotation files in the same format as in our training sets. Please refer to [DATASET_ZOO.md](https://github.com/Zhongdao/Towards-Realtime-MOT/blob/master/DATASET_ZOO.md) for the dataset format. 
 
 ## Related Resources
-See also the current SOTA on MOT16 private track, [FairMOT](https://github.com/ifzhang/FairMOT), which follows the framework of JDE. They employ an anchor-free, high-resolution network and thus mitigate the embedding mis-alignment/overlapping issue, and achieves higher performance. The results are surprisingly good -- 68.7 MOTA	/ 70.4 IDF-1 / 953 IDs !	
+- [FairMOT](https://github.com/ifzhang/FairMOT): An improved method based on the JDE framework, SOTA performance.
+- [CSTrack](https://arxiv.org/pdf/2010.12138.pdf): Better disentangled detection/embedding heads for JDE.
+- [JDE-Paddle](https://github.com/PaddlePaddle/PaddleDetection/tree/release/2.1/configs/mot): A nice re-implementation (and document) by Baidu [PaddlePaddle](https://github.com/PaddlePaddle) team.
+- [JDE-CPP](https://github.com/samylee/Towards-Realtime-MOT-Cpp): A pure C++ re-implementation by [samylee](https://github.com/samylee). Helpful if you want to deploy JDE in your own project!
 
 ## Acknowledgement
 A large portion of code is borrowed from [ultralytics/yolov3](https://github.com/ultralytics/yolov3) and [longcw/MOTDT](https://github.com/longcw/MOTDT), many thanks to their wonderful work!