Deep Mamba Multi-modal Learning
<|reference_start|>Deep Mamba Multi-modal Learning: Inspired by the excellent performance of Mamba networks, we propose a novel Deep Mamba Multi-modal Learning (DMML). It can be used to achieve the fusion of multi-modal features. We apply DMML to the field of multimedia retrieval and propose an innovative Deep Mamba Multi-modal Hashing (DMMH) method. It combines the advantages of algorithm accuracy and inference speed. We validated the effectiveness of DMMH on three public datasets and achieved state-of-the-art results.<|reference_end|>
@article{zhu2024deep,
    title={Deep Mamba Multi-modal Learning},
    author={Jian Zhu, Xin Zou, Yu Cui, Zhangmin Huang, Chenshu Hu, Bo Lyu},
    journal={arXiv preprint arXiv:2406.18007},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.18007},
    primaryClass={cs.MM}
}