Abstract RGB-Thermal infrared (RGB-T) image analysis has been actively studied in recent
years. In the past decade, it has received wide attention and made a lot of important …

In recent years, visual object tracking, as a prominent research area in computer vision, has
garnered significant attention. To bolster the robustness of trackers across a spectrum of …

RGB and thermal source data suffer from both shared and specific challenges, and how to
explore and exploit them plays a critical role in representing the target appearance in RGBT …

RGB-thermal (RGBT) tracking has received extensive attention as a research hotspot,
benefiting from the complementarity of visible (RGB) and thermal (T) modalities, which can …

RGBT object tracking is an important research topic due to the complementary features of
visible and thermal infrared images. However, the established fast-tracking Siamese series …

Due to the complementarity of RGB and thermal (RGBT) modalities, RGBT trackers have
become a solution for visual tracking in variable and complex scenarios. Most existing works …

RGBT tracking is an attractive topic that benefits from the complementarity of visible and
thermal sensors to better handle tracking tasks in atrocious scenarios. Existing RGBT …

RGBT tracking seeks to leverage both visible and thermal infrared images to enhance the
robustness of target tracking. This method makes up for the limitations of single-sensor …

Multi-modal feature fusion as a core investigative component of RGBT tracking emerges
numerous fusion studies in recent years. However, existing RGBT tracking methods widely …

RGBT object tracking is widely used due to the complementary nature of RGB and TIR
modalities. However, RGBT trackers based on Transformer or CNN face significant …