Single object tracking (SOT) in satellite video (SV) enables the continuous acquisition of
position and range information of an arbitrary object, showing promising value in remote …

All instance perception tasks aim at finding certain objects specified by some queries such
as category names, language expressions, and target annotations, but this complete field …

Transformer-based visual trackers have demonstrated significant progress owing to their
superior modeling capabilities. However, existing trackers are hampered by low speed …

In the realm of video object tracking auxiliary modalities such as depth thermal or event data
have emerged as valuable assets to complement the RGB trackers. In practice most existing …

The core of video understanding tasks such as recognition captioning and tracking is to
automatically detect objects or actions in a video and analyze their temporal evolution …

Existing Siamese or transformer trackers commonly pose visual object tracking as a one-
shot detection problem ie locating the target object in a single forward evaluation scheme …

Abstract The Visual Object Tracking Segmentation VOTS2023 challenge is the eleventh
annual tracker benchmarking activity of the VOT initiative. This challenge is the first to merge …

We present ARTrackV2 which integrates two pivotal aspects of tracking: determining where
to look (localization) and how to describe (appearance analysis) the target object across …

Abstract Multimodal Visual Object Tracking (VOT) has recently gained significant attention
due to its robustness. Early research focused on fully fine-tuning RGB-based trackers which …

Online contextual reasoning and association across consecutive video frames are critical to
perceive instances in visual tracking. However, most current top-performing trackers …