Numerous tracking approaches attempt to improve target representation through target-
aware or distractor-aware. However, the unbalanced considerations of target or distractor …

Visual tracking is a task of localizing a target unceasingly in a video with an initial target
state at the first frame. The limited target information makes this problem an extremely …

In recent years, vision-language tracking has drawn emerging attention in the tracking field.
The critical challenge for the task is to fuse semantic representations of language …

A LiDAR-based 3-D object tracking system has been widely used in various scenarios such
as autonomous driving and video surveillance, as it provides real-time and accurate object …

Recently, Siamese trackers based on region proposal networks (RPN) have gained a lot of
popularity. However, the design of RPN requires manual tuning of parameters such as …

Unforeseen appearance variation is a challenging factor for visual tracking. This paper
provides a novel solution from semantic data augmentation, which facilitates offline training …

Visual Object Tracking (VOT) can be seen as an extended task of Few-Shot Learning (FSL).
While the concept of FSL is not new in tracking and has been previously applied by prior …

This project dynamically lists out all the concepts and applications of various approaches
and algorithms that are in line with the problem statement and sets out in finding the most …

In recent years, Siamese-based trackers have achieved excellent performance, most of them
usually calculate the similarity of each position on the search region to the object through the …