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 …

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 …

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

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 …

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 …

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 …

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 …

Object tracking in RGB-thermal (RGB-T) videos is increasingly used in many fields due to
the all-weather and all-day working capability of the dual-modality imaging system, as well …

This paper investigates how to integrate the complementary information from RGB and
thermal (RGB-T) sources for object tracking. We propose a novel Convolutional Neural …

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 …