Transformer has shown excellent performance in remote sensing field with long-range
modeling capabilities. Remote sensing video (RSV) moving object detection and tracking …

The training of a feature extraction network typically requires abundant manually annotated
training samples, making this a time-consuming and costly process. Accordingly, we …

The feature models used by existing Thermal InfraRed (TIR) tracking methods are usually
learned from RGB images due to the lack of a large-scale TIR image training dataset …

Thermal infrared (TIR) target tracking task is not affected by illumination changes and can be
tracked at night, on rainy days, foggy days, and other extreme weather; so it is widely used in …

The current Siamese network based on region proposal network (RPN) has attracted great
attention in visual tracking due to its excellent accuracy and high efficiency. However, the …

Thermal infrared (TIR) target tracking is susceptible to occlusion and similarity interference,
which obviously affects the tracking results. To resolve this problem, we develop an Aligned …

When dealing with complex thermal infrared (TIR) tracking scenarios, the single category
feature is not sufficient to portray the appearance of the target, which drastically affects the …

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 …

Object tracking belongs to active research areas in computer vision. We are interested in
matching-based trackers exploiting deep machine learning known as Siamese trackers …

Many Siamese-based RGBT trackers have been prevalently designed in recent years for
fast-tracking. However, the correlation operation in them is a local linear matching process …