Recently Transformer has been largely explored in tracking and shown state-of-the-art
(SOTA) performance. However, existing efforts mainly focus on fusing and enhancing …

The rapid development and widespread application of Unmanned Aerial Vehicles (UAV)
have raised significant concerns about safety and privacy, thus requiring powerful anti-UAV …

Object tracking is a fundamental computer vision problem that refers to a set of methods
proposed to precisely track the motion trajectory of an object in a video. Multiple Object …

With the rapid development of deep learning technology, a variety of network models for
classification have been proposed, which is beneficial to the realization of intelligent waste …

Recently, adversarial attacks have been applied in visual object tracking to deceive deep
trackers by injecting imperceptible perturbations into video frames. However, previous work …

UAV tracking is a burgeoning task with vast application prospects in various fields such as
agriculture, navigation, and public safety. However, the computational constraints and …

Making full use of temporal and spatial information is critical to cope with the appearance
changes of objects in visual object tracking. However, existing methods in the tracking field …

Hyperspectral video with spatial and spectral information has great potential to improve
object tracking performance. However, the limited hyperspectral training samples hinder the …