Due to the complementarity of RGB and thermal data, RGBT tracking has received more and
more attention in recent years because it can effectively solve the degradation of tracking …

The task of RGBT tracking aims to take the complementary advantages from visible
spectrum and thermal infrared data to achieve robust visual tracking, and receives more and …

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 …

Recent years have witnessed the popularity of integrating Siamese network into RGBT
tracking for fast-tracking. However, these trackers mostly utilize the feature information of the …

In recent years, RGBT tracking has become a hot topic in the field of visual tracking, and
made great progress. In this paper, we propose a novel Trident Fusion Network (TFNet) to …

We propose an end-to-end tracking framework for fusing the RGB and TIR modalities in
RGB-T tracking. Our baseline tracker is DiMP (Discriminative Model Prediction), which …

Visual object tracking is a basic task in the field of computer vision. Despite the rapid
development of visual object tracking, it is not reliable to use only visible light images for …

Most current RGB-T trackers adopt a two-stream structure to extract unimodal RGB and
thermal features and complex fusion strategies to achieve multi-modal feature fusion, which …

RGBT tracking has attracted increasing attention since RGB and thermal infrared data have
strong complementary advantages, which could make trackers all-day and all-weather work …

Recent years have witnessed the prevalence of using the Siamese network for RGB-T
tracking because of its remarkable success in RGB object tracking. Despite their faster than …