Aimed at this problem, this paper proposes a real-time tracking network based on the attention mechanism, which can improve the tracking speed with a smaller model, and at the same time, introduce the attention mechanism in the module to strengthen the attention to the...
Abstract:RGB-T (RGB-Thermal) object tracking has received much attention in the field of object tracking because it is less restricted by lighting conditions. An RGB-T object tracking network was proposed to address the differences in resolution and...
Attention-based Fusion Router for RGBT Tracking. arXiv Dataset We use the LasHeR training set for training, GTOT, RGBT210, RGBT234, LasHeR testing set, VTUAVST for testing, and their project addresses are as follows: GTOT RGBT210 RGBT234 LasHeR VTUAV Environment Preparation Clone repo: ...
A collection of deep learning based RGB-T-Fusion methods, codes, and datasets. The main directions involved are Multispectral Pedestrian Detection, RGB-T Aerial Object Detection, RGB-T Semantic Segmentation, RGB-T Crowd Counting, RGB-T Fusion Tracking. -
摘要: feature extraction use multi-scale strategy and channel spatial fusion strategy.Introduce a self-attention interaction module to facilitate fast convergence.Our proposed method achieved the best performance compared to other methods.关键词: KeywordsSingle-object trackingRGB-T trackingFeature fusion ...
how well the display tracks the prescribed grayscale brightness as the signal level increases from black—was spot on for a classic 2.2 dark-room gamma, though not accurately tracking the darker BT.1886 gamma described by the menu setting....
TRACKING algorithmsFORECASTINGIn recent years, RGBT trackers based on the Siamese network have gained significant attention due to their balanced accuracy and efficiency. However, these trackers often rely on similarity matching of features between a fixed-size target template and search region, which ...
External attention mechanismDue to the unique complementarity of RGB and thermal (RGBT) images, RGBT tracking has gradually become a crucial area of research. To achieve robust tracking performance, how to leverage both local and global information becomes a crucial issue for the RGBT tracking. ...
In this paper, an RGB-T object tracking algorithm based on a modal-aware attention network and competitive learning (MaCNet) is proposed, which includes a feature extraction network, modal-aware attention network, and classification network. The feature extraction network adopts the form of a two...
A collection of deep learning based RGB-T-Fusion methods, codes, and datasets. The main directions involved are Multispectral Pedestrian, RGB-T Vehicle Detection, RGB-T Semantic Segmentation, RGB-T Crowd Counting, RGB-T Fusion Tracking. - fun1024/Awesome