Wen-Feng Zhu

HRFNet: Ground-Truth-Guided Kullback–Leibler Divergence Routing for Semantics-Aware Multi-Branch Segmentation of Urban Driving Scenes

Multi-branch networks combine backbones whose inductive biases are complementary, but their fusion modules set the branch weights from feature statistics alone and are therefore blind to what a pixel represents. We supervise fusion in label space instead. Ground-truth labels are converted into per-pixel routing targets...