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🏃‍♀️NetTrack

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Guangze Zheng¹, Shijie Lin¹, Haobo Zuo¹, Changhong Fu², Jia Pan¹*

HKU¹, Tongji University²

PyTorch implementation for NetTrack. SOTA performance on BFT, TAO, TAO-OW, AnmimalTrack, and GMOT-40 without any training or finetuning!

📣 News

:hammer_and_wrench: Install

:bird: BFT dataset

<img src="./assets/dataset_conf.jpg" width="600">

🚀 Get started

🎞️ Video

Watch our video on YouTube!

<a href="http://www.youtube.com/watch?v=h81R1B8HuOE"> <img src="./assets/youtube.jpg" alt="IMAGE ALT TEXT HERE" width="500"> </a>

🥰 Acknowledgement

The primary data of BFT dataset is from the BBC nature documentary series Earthflight. The code is based on GroundingDINO, CoTracker, and ByteTrack. Dr. Ming-Shan Wang provided valuable biological suggestions for this work. The authors appreciate the great work and the contributions they made.

😮 Cite our work

If you find this dataset useful, please cite our work. Looking forward to your suggestions to make this dataset better!

@Inproceedings{nettrack,
title={{NetTrack: Tracking Highly Dynamic Objects with a Net}},
author={Zheng, Guangze and Lin, Shijie and Zuo, Haobo and Fu, Changhong and Pan, Jia},
booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
year={2024},
pages={1-8}}