Boundary-Aligned Contribution Routing for Robust Optical--SAR Object Detection
The proposed fusion-boundary-aligned routing regulates each modality's contribution before the first learned cross-modal feature-value mixing operation, supported by Spearman correlations between the learned routing weights and model-specific leave-one-modality-out utility range from 0.45 to 0.66.