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

With the increasing demand for search and rescue, it is highly demanded to detect objects of
interest in large-scale images captured by unmanned aerial vehicles (UAVs), which is quite …

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

Unmanned aerial vehicle (UAV)-based tracking finds its applications in agriculture, aviation,
navigation, transportation and public security, etc and develops rapidly recently. However, …

Harnessing transformer-based models, visual tracking has made substantial strides.
However, the sluggish performance of current trackers limits their practicality on devices with …

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 load. …

Human pose estimation has a variety of real-life applications, including human action recognition,
AI-powered personal trainers, robotics, motion capture and augmented reality, gaming…

Recently, the surge in the adoption of single-stream architectures utilizing pre-trained ViT
backbones represents a promising advancement in the field of generic visual tracking. By …

Unmanned aerial vehicle (UAV) tracking has wide poten-tial applications in such as agriculture,
navigation, and public security. However, the limitations of computing resources, battery …

The 1st Tiny Object Detection (TOD) Challenge aims to encourage research in developing
novel and accurate methods for tiny object detection in images which have wide views, with a …