The primary use of VideoMamba is research on image and video tasks, e.g., image classification, action recognition, long-term video understanding, and video-text retrieval, with an SSM-based backbone.
The primary intended users of the model are researchers and hobbyists in computer vision, machine learning, and artificial intelligence.
Then you can load this checkpoint and start training.
Citation Information
@misc{li2024videomamba,
title={VideoMamba: State Space Model for Efficient Video Understanding},
author={Kunchang Li and Xinhao Li and Yi Wang and Yinan He and Yali Wang and Limin Wang and Yu Qiao},
year={2024},
eprint={2403.06977},
archivePrefix={arXiv},
primaryClass={cs.CV}
}