  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.
