While discriminative correlation filters (DCF)-based trackers prevail in UAV tracking for their
favorable efficiency, lightweight convolutional neural network (CNN)-based trackers using …

Background and Motivation: Coronary artery disease (CAD) has the highest mortality rate;
therefore, its diagnosis is vital. Intravascular ultrasound (IVUS) is a high-resolution imaging …

In recent years, the field of unmanned aerial vehicle (UAV) tracking has grown rapidly,
finding numerous applications across various industries. While the discriminative correlation …

Maintaining high efficiency and high precision are two fundamental challenges in UAV
tracking due to the constraints of computing resources, battery capacity, and UAV maximum …

Addressing the core challenges of achieving both high efficiency and precision in UAV
tracking is crucial due to limitations in computing resources, battery capacity, and maximum …

In recent years, trackers based on neural networks have demonstrated excellent tracking
performance. Compared to general tracking tasks, aerial tracking tasks require more …

The task of unmanned aerial vehicle (UAV)-view geo-localization is to estimate the
localization of a query satellite/drone image by matching it against a reference dataset …

Unmanned aerial vehicle (UAV)-based tracking has wide perspective applications, however,
due to the limitations of computing resources, battery capacity, and maximum load of UAVs …

Recently, by virtue of the high computational efficiency and accuracy, discriminative
correlation filter (DCF)-based tracking methods have gained attraction in the field of …

In this work, we propose a visual tracking algorithm based on structural-appearance
information fusion that aims to distinguish the target from distractors, including both …