Yu-Hao Du

Mining Heterogeneous Advantages via Feature Purification and Recombination for Multimodal Object Detection

Visible-infrared (IR) image fusion constitutes a pivotal paradigm for achieving all-weather robust object detection. However, its performance gains are frequently impeded by cross-modal semantic heterogeneity. This issue degrades representation quality in two primary ways. First, heterogeneous noises (e.g., thermal art...