Wei-Dai Xia

BFA-HARF: Robust RGB-T tracking via bidirectional feature adapter and hybrid attention with receptive fields

TCTracker: a RGB-T tracking via text-guided and contrast-learning enhancement

In complex environments, RGB-T object tracking relies on the complementary features of RGB and thermal infrared (TIR) modalities to enhance accuracy and robustness. However, traditional approaches often overlook the guiding role of semantic features, and boundary box-based initialization can lead to ambiguity and drift...

CLRFI: A multimodal tracking via contrast learning and region feature interaction

RGB-Thermal (RGB-T) target tracking algorithms aim to achieve robust all-weather tracking by leveraging the complementary properties of multiple modalities. Previous methods often fuse RGB and TIR search area features directly, which can introduce redundant background noise and lead to inaccurate tracking frame predict...