website init

README.md

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 # 🌊 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](https://github.com/facebookresearch/sam2?tab=readme-ov-file) by Meta FAIR.
-
-The VOT evaluation code is modifed from [VOT Toolkit](https://github.com/votchallenge/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}
-}
-```
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