Hong-Tu Cai

SRNet: Spectral Rebalancing Network for Robust RGB–Infrared Object Detection Against Modality Anomalies

RGB–infrared object detection relies on complementary information from two modalities, yet it implicitly assumes that the imaging quality of both stays stable. In practice, factors such as component aging and sensor gain drift can degrade one modality, a condition termed a modality anomaly. This work addresses the ampl...