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 …

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 …

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 …

RGBT tracking usually suffers from various challenge factors, such as fast motion, scale
variation, illumination variation, thermal crossover and occlusion, to name a few. Existing …

RGBT tracking has received more and more attention in recent years, and in this paper, we
propose a multi-task auxiliary learning framework for RGBT tracking. Specifically, we simplify …

How to perform effective information fusion of different modalities is a core factor in boosting
the performance of RGBT tracking. This paper presents a novel deep fusion algorithm based …

Hierarchical deep features can provide multilevel abstractions of target objects, which play
an important role in target localization and classification. Determining how to effectively …

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 …

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 …

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 …