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Unicorn :unicorn: : Towards Grand Unification of Object Tracking

PWC PWC PWC PWC PWC PWC Models on Hugging Face Unicorn

This repository is the project page for the paper Towards Grand Unification of Object Tracking

Highlight

Introduction

This repository supports the following tasks:

Image-level

Video-level

Demo

Unicorn conquers four tracking tasks (SOT, MOT, VOS, MOTS) using the same network with the same parameters.

https://user-images.githubusercontent.com/6366788/180479685-c2f4bf3e-3faf-4abe-b401-80150877348d.mp4

Results

SOT

<div align="center"> <img src="assets/SOT.png" width="600pix"/> </div>

MOT (MOT17)

<div align="center"> <img src="assets/MOT.png" width="600pix"/> </div>

MOT (BDD100K)

<div align="center"> <img src="assets/MOT-BDD.png" width="600pix"/> </div>

VOS

<div align="center"> <img src="assets/VOS.png" width="600pix"/> </div>

MOTS (MOTS Challenge)

<div align="center"> <img src="assets/MOTS.png" width="600pix"/> </div>

MOTS (BDD100K MOTS)

<div align="center"> <img src="assets/MOTS-BDD.png" width="600pix"/> </div>

Getting started

  1. Installation: Please refer to install.md for more details.
  2. Data preparation: Please refer to data.md for more details.
  3. Training: Please refer to train.md for more details.
  4. Testing: Please refer to test.md for more details.
  5. Model zoo: Please refer to model_zoo.md for more details.

Citing Unicorn

If you find Unicorn useful in your research, please consider citing:

@inproceedings{unicorn,
  title={Towards Grand Unification of Object Tracking},
  author={Yan, Bin and Jiang, Yi and Sun, Peize and Wang, Dong and Yuan, Zehuan and Luo, Ping and Lu, Huchuan},
  booktitle={ECCV},
  year={2022}
}

Acknowledgments