Learning a deep ensemble network with band importance for hyperspectral object tracking
Attributing to material identification ability powered by a large number of spectral bands,
hyperspectral videos (HSVs) have great potential for object tracking. Most hyperspectral …
hyperspectral videos (HSVs) have great potential for object tracking. Most hyperspectral …
Siamese residual network for efficient visual tracking
The Siamese tracking framework has attracted much attention due to its scalability and
efficiency in recent years. However, it is less effective in recognizing arbitrary targets with …
efficiency in recent years. However, it is less effective in recognizing arbitrary targets with …
Robust drogue positioning system based on detection and tracking for autonomous aerial refueling of UAVs
KW Tong, J Wu, YH Hou - IEEE Transactions on Automation …, 2023 - ieeexplore.ieee.org
In modern war, endurance mileage and combat radius are important factors for the combat
effectiveness of military aircraft. However, the existing aerial refueling schemes mainly use …
effectiveness of military aircraft. However, the existing aerial refueling schemes mainly use …
BANDT: A border-aware network with deformable transformers for visual tracking
Siamese trackers that predict a tracking box over a regular grid of feature maps based on the
sliding-window paradigm have recently drawn widespread attention in the tracking …
sliding-window paradigm have recently drawn widespread attention in the tracking …
Learning to rank proposals for siamese visual tracking
Recently, Siamese network based trackers with region proposal networks (RPN)
decompose the visual tracking task into classification and regression, and have drawn much …
decompose the visual tracking task into classification and regression, and have drawn much …
Joint spatio-temporal similarity and discrimination learning for visual tracking
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 …
state at the first frame. The limited target information makes this problem an extremely …
A lightweight convolutional neural network for multipoint displacement measurements on bridge structures
S Wang, S Lin, R Yang - Nonlinear Dynamics, 2024 - Springer
Emerging computer vision measurement methods overcome the limitations of traditional
sensors. However, conventional digital image processing algorithms encounter issues of …
sensors. However, conventional digital image processing algorithms encounter issues of …
Similarity-and quality-guided relation learning for joint detection and tracking
Joint detection and tracking, which solves two fundamental vision challenges in a unified
manner, is a challenging topic in computer vision. In this area, the proper use of spatial …
manner, is a challenging topic in computer vision. In this area, the proper use of spatial …
PRAT: Accurate object tracking based on progressive attention
Y Zeng, B Zeng, H Hu, H Zhang - Engineering Applications of Artificial …, 2023 - Elsevier
Object tracking aims to estimate the position of a given object in subsequent video
sequences. One of the research focuses in tracking is feature fusion as the similar response …
sequences. One of the research focuses in tracking is feature fusion as the similar response …
Siamdmu: Siamese dual mask update network for visual object tracking
J Liu, H Wang, C Ma, Y Su… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The Siamese trackers have demonstrated powerful performance in object tracking, which
convert tracking into template matching. However, the trackers may fail to track the target …
convert tracking into template matching. However, the trackers may fail to track the target …