Mamba-driven cross-modal state-space fusion: a dynamic framework for robust pedestrian detection

A cross-modality fusion Mamba block to map the modal features of infrared images with those of visible images to a hidden state space for interaction, thus reducing the differences among different modal features, and shows that M-fusion has excellent performance in multimodal pedestrian detection.