Single-object tracking is regarded as a challenging task in computer vision, especially in
complex spatio-temporal contexts. The changes in the environment and object deformation …

Label smoothing is an effective regularization tool for deep neural networks (DNNs), which
generates soft labels by applying a weighted average between the uniform distribution and …

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 …

Tracking with bio-inspired event cameras has garnered increasing interest in recent years.
Existing works either utilize aligned RGB and event data for accurate tracking or directly …

In recent years, Siamese network based trackers have significantly advanced the state-of-
the-art in real-time tracking. Despite their success, Siamese trackers tend to suffer from high …

As a sort of model-free tracking approach, discriminative correlation filter (DCF)-based
trackers have shown prominent performance in unmanned aerial vehicle (UAV) tracking …

Moving target tracking is one of the most active applications in the field of unmanned aerial
vehicles (UAVs). Due to their high adaptability, UAVs equipped with multisensor vision …

The discriminative correlation filter (DCF) is commonly used in aerial object tracking due to
its high tracking accuracy and computing speed. However, when similar object disturbances …

Unmanned aerial vehicle (UAV) has facilitated a wide range of real-world applications and
attracted extensive research in the mobile computing field. Specially, developing real-time …

Unmanned aerial vehicles (UAVs) visual tracking has always been a challenging task.
Existing correlation filter tracking algorithms typically utilize the histograms of oriented …