D2CMFDet: Disparity-Guided Dynamic Cross-Modal Mamba Fusion for Multispectral Object Detection
Existing multispectral object detectors struggle to balance wide-area cross-modal discrepancy modeling with high-resolution local detail preservation. To address this bottleneck, we propose D2CMFDet, a disparity-guided dynamic fusion framework that integrates learnable state-transition modeling with cross-modal feature...