2024
FDENet: Fusion Depth Semantics and Edge-Attention Information for Multispectral Pedestrian Detection
RA-L 2024
In recent years, multispectral pedestrian detection as a multimodal solution, using visible light and thermal image multimodal information to solve pedestrian detection challenges in low light environments, plays a crucial role. However, most existing methods directly mix the results of the two moda