37 lines
1.5 KiB
Markdown
37 lines
1.5 KiB
Markdown
# 🌊 SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory
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[[Arxiv]]()[[Raw Results]]()
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This repository is the official implementation of SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory
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## Code & Installation
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## Main Results
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## Acknowledgment
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SAMURAI is built on top of [SAM 2](https://github.com/facebookresearch/sam2?tab=readme-ov-file) by Meta FAIR.
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The VOT evaluation code is modifed from [VOT Toolkit](https://github.com/votchallenge/toolkit) by Luka Čehovin Zajc.
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## Citation
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Please consider citing our paper and the wonderful `SAM 2` if you found our work interesting and useful.
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```
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@article{ravi2024sam2,
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title={SAM 2: Segment Anything in Images and Videos},
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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},
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journal={arXiv preprint arXiv:2408.00714},
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url={https://arxiv.org/abs/2408.00714},
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year={2024}
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}
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@article{yang2024samurai,
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title={Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory},
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author={Yang, Cheng-Yen and Huang, Hsiang-Wei and Chai, Wenhao and Jiang, Zhongyu and Hwang, Jenq-Neng},
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journal={},
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url={},
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year={2024}
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}
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```
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