Robustness and discrimination power are two fundamental requirements in visual object
tracking. In most tracking paradigms, we find that the features extracted by the popular …

Boosting performance of the offline trained siamese trackers is getting harder nowadays
since the fixed information of the template cropped from the first frame has been almost …

Attributing to material identification ability powered by a large number of spectral bands,
hyperspectral videos (HSVs) have great potential for object tracking. Most hyperspectral …

Abstract The Visual Object Tracking challenge VOT2021 is the ninth annual tracker
benchmarking activity organized by the VOT initiative. Results of 71 trackers are presented; …

Aerial tracking has recently shown significant potential in vision-based measurement.
Despite significant improvements, accurate occlusion tracking remains a difficult challenge …

Abstract Multi-modal Large Language Models (MLLMs) have demonstrated their ability to
perceive objects in still images, but their application in video-related tasks, such as object …

Visual object tracking is basically formulated as target classification and bounding box
estimation. Recent anchor-free Siamese trackers rely on predicting the distances to four …

Recently, deep learning has achieved great success in visual tracking tasks, particularly in
single-object tracking. This paper provides a comprehensive review of state-of-the-art single …

Recently, siamese-based trackers have achieved significant successes. However, those
trackers are restricted by the difficulty of learning consistent feature representation with the …

UAV tracking is a burgeoning task with vast application prospects in various fields such as
agriculture, navigation, and public safety. However, the computational constraints and …