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 …

Vision-language tracking (VLT) enhances traditional visual object tracking by integrating
language descriptions, requiring the tracker to flexibly understand complex and diverse text …

Visual object tracking aims to locate a targeted object in a video sequence based on an
initial bounding box. Recently, Vision-Language~(VL) trackers have proposed to utilize …

Point tracking is a challenging task in computer vision, aiming to establish point-wise
correspondence across long video sequences. Recent advancements have primarily …

Single object tracking aims to locate one specific target in video sequences, given its initial
state. Classical trackers rely solely on visual cues, restricting their ability to handle …

Underwater object tracking (UOT) is a foundational task for identifying and tracing
submerged entities in underwater video sequences. However, current UOT datasets suffer …

Visual Object Tracking (VOT) is an attractive and significant research area in computer
vision, which aims to recognize and track specific targets in video sequences where the …

Over the past decade, significant progress has been made in visual object tracking, largely
due to the availability of large-scale training datasets. However, existing tracking datasets …

Night unmanned aerial vehicle (UAV) tracking is impeded by the challenges of poor
illumination, with previous daylight-optimized methods demonstrating suboptimal …

Object detection in complex traffic scenarios is crucial for Intelligent Transportation Systems
(ITS). At present, most real-time traffic object detection methods primarily rely on YOLO-style …