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Tracking"],"sub_categories":["Papers"],"readme":"# Mamba based visual object tracking\n\n\u003cp align=\"center\"\u003e\n  \u003cimg src=\"https://github.com/Event-AHU/Mamba_FETrack/blob/main/figures/log.png\" alt=\"EventDET_logo\" width=\"800\"/\u003e\n\u003c/p\u003e\n\n\n# :collision: News \n* [2025.07.01] **Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking**,\n    Shiao Wang, Ju Huang, Qingchuan Ma, Jinfeng Gao, Chunyi Xu, Xiao Wang*, Lan Chen*, Bo Jiang, arXiv:2506.23783 is released on [[arXiv](https://arxiv.org/abs/2506.23783)]  \n* [2024.06.25] This work is accepted by **PRCV-2024** [[第七届中国模式识别与计算机视觉大会 (The 7th Chinese Conference on Pattern Recognition and Computer Vision PRCV 2024)](http://2024.prcv.cn/)]. \n* [2024.05.15] Source code and weights are all released.\n* [2024.04.28] The arXiv paper is released [[arXiv](https://arxiv.org/abs/2404.18174)] \n\n\n# :hammer: Environment Settings \n* **Install environment using conda**\n```\nconda create -n mamba_fetrack python=3.10.13\nconda activate mamba_fetrack\n```\n\n\n * **Install the package for Vim**\n```\nconda install cudatoolkit==11.8 -c nvidia\npip install torch==2.1.1 torchvision==0.16.1 torchaudio==2.1.1 --index-url https://download.pytorch.org/whl/cu118\nconda install -c \"nvidia/label/cuda-11.8.0\" cuda-nvcc\nconda install packaging\npip install -r vim_requirements.txt\n```\n* **Install the mamba-1.1.1 and casual-conv1d-1.1.3 for mamba**\n\nDownload the [mamba-1.1.1](https://github.com/state-spaces/mamba/releases/download/v1.1.1/mamba_ssm-1.1.1+cu118torch2.1cxx11abiFALSE-cp310-cp310-linux_x86_64.whl) and [source code](https://github.com/state-spaces/mamba/archive/refs/tags/v1.1.1.zip) and place it in the project path. Go to source code and install the corresponding environment.\n```\ncd mamba-1.1.1\npip install .\n```\n\nDownload the [casual-conv1d-1.1.3](https://github.com/Dao-AILab/causal-conv1d/releases/download/v1.1.3/causal_conv1d-1.1.3+cu118torch2.1cxx11abiFALSE-cp310-cp310-linux_x86_64.whl) and [source code](https://github.com/Dao-AILab/causal-conv1d/archive/refs/tags/v1.1.3.zip) and place it in the project path.  Go to source code and install the corresponding environment.\n```\ncd ..\ncd causal-conv1d-1.1.3\npip install .\n```\n    \n* **Install the package for tracking**\n```\nbash install.sh\n```\n\n* **Run the following command to set paths for this project**\n```\npython tracking/create_default_local_file.py --workspace_dir . --data_dir ./data --save_dir ./output\n```\n\n* **After running this command, you can also modify paths by editing these two files**\n```\nlib/train/admin/local.py  # paths about training\nlib/test/evaluation/local.py  # paths about testing\n```\n\n\n\n\n\n# :cupid: Acknowledgment \n[[OSTrack](https://github.com/botaoye/OSTrack)] \n[[Mamba](https://github.com/state-spaces/mamba)] \n[[FELT](https://github.com/Event-AHU/FELT_SOT_Benchmark)] \n[[CEUTrack](https://github.com/Event-AHU/COESOT)] \n[[FE108](https://zhangjiqing.com/dataset/contact)] \n\n\n\n### :newspaper: Citation \nIf you think this paper is helpful, please feel free to leave a star ⭐️ and cite our paper:\n```bibtex\n@inproceedings{huang2024mamba,\n  title={Mamba-fetrack: Frame-event tracking via state space model},\n  author={Huang, Ju and Wang, Shiao and Wang, Shuai and Wu, Zhe and Wang, Xiao and Jiang, Bo},\n  booktitle={Chinese Conference on Pattern Recognition and Computer Vision (PRCV)},\n  pages={3--18},\n  year={2024},\n  organization={Springer}\n}\n\n@misc{wang2025mambafetrackv2revisitingstate,\n      title={Mamba-FETrack V2: Revisiting State Space Model for Frame-Event based Visual Object Tracking}, \n      author={Shiao Wang and Ju Huang and Qingchuan Ma and Jinfeng Gao and Chunyi Xu and Xiao Wang and Lan Chen and Bo Jiang},\n      year={2025},\n      eprint={2506.23783},\n      archivePrefix={arXiv},\n      primaryClass={cs.CV}\n}\n```\n\n\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FEvent-AHU%2FMamba_FETrack","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FEvent-AHU%2FMamba_FETrack","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FEvent-AHU%2FMamba_FETrack/lists"}