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

As an intermediate task in computer vision, multiple pedestrian tracking (MPT) aiming at
tracking the pedestrians from a given video, has attracted attention due to its potential …

Multi-object tracking in satellite videos (SV-MOT) is an important task with many
applications, such as traffic monitoring and disaster response. However, the widely studied …

Satellite video object tracking has become an emerging technology for dynamically
observing the earth, providing the possibility for tracking moving objects in a short time …

With the development of satellite videos, multiobject tracking (MOT) in satellite video is
possible and has become a new challenging task. The challenges of the task are mainly …

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

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 …

Tracking multiple tiny objects is highly challenging due to their weak appearance and limited
features. Existing multi-object tracking algorithms generally focus on singlemodality scenes …

The essence of improving the effect of cross-modal image–text retrieval (CIR) lies in the finer-
grained modeling of homogeneous features between modalities. However, in remote …

Many existing multiobject tracking (MOT) methods tend to model each object's feature
individually. However, under acute viewpoint variation and occlusion, there may exist …