Fast and robust small target detection is one of the key technologies in the infrared (IR)
search and tracking systems. With the development of deep learning, there are many data …

In recent years, visual object tracking, as a prominent research area in computer vision, has
garnered significant attention. To bolster the robustness of trackers across a spectrum of …

Visual object tracking is a fundamental research topic with a broad range of applications.
Benefiting from the rapid development of Transformer, pure Transformer trackers have …

The detection of small infrared targets with low signal-to-noise ratio (SNR) and low contrast
in high-noise backgrounds is challenging due to the lack of spatial features of the targets …

Recently, the need for advanced anti-UAV techniques is increasing due to the rising threat of
unauthorized drone intrusion. Object tracking, specifically in thermal infrared (TIR) videos …

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

Many deep neural network-based methods have recently been proposed for object
detection due to the significant success of deep learning in computer vision. However …

This article overcomes the failure of an unmanned aerial vehicle (UAV) formation to detect a
target in a limited time due to the visual sensor dead zone, thereby delaying the timing of …

Unmanned aerial vehicles (UAVs) have been widely used in various application domains,
but unauthorized UAVs may pose a threat to public safety due to violation of aviation …

With the growing threat of unmanned aerial vehicle (UAV) intrusions, the topic of anti-UAV
tracking has received widespread attention from the community. Traditional Siamese …