Remote sensing object detection (RSOD), one of the most fundamental and challenging
tasks in the remote sensing field, has received long-standing attention. In recent years, deep …

The foundation model (FM) has garnered significant attention for its remarkable transfer
performance in downstream tasks. Typically, it undergoes task-agnostic pretraining on a …

Satellite videos capture the dynamic changes in a large observed sense, which provides an
opportunity to track the object trajectories. However, existing multiple object tracking (MOT) …

Existing mainstream multiobject tracking (MOT) methods can be categorized into two
frameworks, including two-and one-stage ones. Two-stage ones divide MOT task into object …

Optical remote sensing videos, as a new source of remote sensing data that has emerged in
recent years, have significant potential in remote sensing applications, especially national …

The video data captured by satellites, colloquially referred to as “gazing,” holds significant
value for analyzing object status and dynamically tracking movements. Such data and their …

With the advancement of remote sensing technology, the demand for the accurate
monitoring and tracking of various targets utilizing unmanned aerial vehicles (UAVs) is …

Multiobject tracking in unmanned aerial vehicle (UAV) scenes is a crucial task with
numerous applications across various domains. The goal of this task is to track multiple …

With the rapid advancement of satellite technology, satellite video has emerged as a key
method for acquiring dynamic terrestrial information, facilitating multiple object tracking …

In this paper, we address aerial tracking tasks by designing multi-phase aware networks to
obtain rich long-range dependencies. For aerial tracking tasks, the existing methods are …