Grounded-SAM-2/README.md

🌊 SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

[Arxiv][Raw Results]

This repository is the official implementation of SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory

Code & Installation

Main Results

Acknowledgment

SAMURAI is built on top of SAM 2 by Meta FAIR.

The VOT evaluation code is modifed from VOT Toolkit by Luka Čehovin Zajc.

Citation

Please consider citing our paper and the wonderful SAM 2 if you found our work interesting and useful.

@article{ravi2024sam2,
  title={SAM 2: Segment Anything in Images and Videos},
  author={Ravi, Nikhila and Gabeur, Valentin and Hu, Yuan-Ting and Hu, Ronghang and Ryali, Chaitanya and Ma, Tengyu and Khedr, Haitham and R{\"a}dle, Roman and Rolland, Chloe and Gustafson, Laura and Mintun, Eric and Pan, Junting and Alwala, Kalyan Vasudev and Carion, Nicolas and Wu, Chao-Yuan and Girshick, Ross and Doll{\'a}r, Piotr and Feichtenhofer, Christoph},
  journal={arXiv preprint arXiv:2408.00714},
  url={https://arxiv.org/abs/2408.00714},
  year={2024}
}

@article{yang2024samurai,
  title={Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory},
  author={Yang, Cheng-Yen and Huang, Hsiang-Wei and Chai, Wenhao and Jiang, Zhongyu and Hwang, Jenq-Neng},
  journal={},
  url={},
  year={2024}
}