Yanglin Pu

Distribution-Aligned Multimodal Fusion for Robust Object Detection

Cross-degradation generalization remains a critical challenge for RGB-infrared multimodal object detection, especially when training data covers limited degradation types. This paper presents a distribution alignment framework with a key insight: aligning fused features to the pretrained distributio