41 lines
1.7 KiB
Markdown
41 lines
1.7 KiB
Markdown
# 🌊 SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory
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[[Arxiv]](https://arxiv.org/abs/2411.11922) [[Project Page]](https://yangchris11.github.io/samurai/)
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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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https://github.com/user-attachments/assets/9d368ca7-2e9b-4fed-9da0-d2efbf620d88
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## Code
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Coming soon!
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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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@misc{yang2024samurai,
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title={SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory},
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author={Cheng-Yen Yang and Hsiang-Wei Huang and Wenhao Chai and Zhongyu Jiang and Jenq-Neng Hwang},
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year={2024},
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eprint={2411.11922},
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archivePrefix={arXiv},
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2411.11922},
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}
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```
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