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PTRNet: Global Feature and Local Feature Encoding for Point Cloud Registration
Applied Sciences, 2022 Existing end-to-end cloud registration methods are often inefficient and susceptible to noise. We propose an end-to-end point cloud registration network model, Point Transformer for Registration Network (PTRNet), that considers local and global features ...
Cuixia Li +4 more
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Dual-Regularized Feature Selection for Class-Specific and Global Feature Associations [PDF]
EntropyUnderstanding feature associations is vital for selecting the most informative features. Existing methods primarily focus on global feature associations, which capture overall relationships across all samples.
Chenchen Wang +4 more
doaj +2 more sources
Feature Complement for Visual Tracking Based on Global Feature Comparison
IEEE Access, 2023 Target tracking is one of the challenging tasks in computer vision. Usually, the center of target origins from the position with the largest response value, and the key to improving tracking performance is to learn reliable feature maps.
Xiaowei He +3 more
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UAV target tracking method based on global feature interaction and anchor-frame-free perceptual feature modulation [PDF]
PLoS ONETarget tracking techniques in the UAV perspective utilize UAV cameras to capture video streams and identify and track specific targets in real-time. Deep learning UAV target tracking methods based on the Siamese family have achieved significant results ...
Yuanhong Dan +5 more
doaj +3 more sources
IEEE Access, 2021 Lung cancer is reported to be the second most common cancer disease. This paper proposes a comprehensive and comparative global and local feature extraction framework for lung cancer detection using CT scan images.
Mohammad A. Alzubaidi +2 more
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Facial expression recognition based on multi branch structure [PDF]
E3S Web of Conferences, 2021 Facial expression recognition (FER) is an important means for machines to perceive human emotions and interact with human beings. Most of the existing facial expression recognition methods only use a single convolutional neural network to extract the ...
Xie Yuqing +5 more
doaj +1 more source
FAS-Res2net: An Improved Res2net-Based Script Identification Method for Natural Scenes
Applied Sciences, 2023 Problems such as complex image backgrounds, low image quality, diverse text forms, and similar or common character layouts in different script categories in natural scenes pose great challenges to scene script identification.
Zhiyun Zhang +4 more
doaj +1 more source
Global Feature Pyramid Network
CoRR, 2023 dataset not ...
Xiao, Weilin, Xu, Ming, Lin, Yonggui
openaire +3 more sources
Regression-Based Camera Pose Estimation through Multi-Level Local Features and Global Features
Sensors, 2023 Accurate and robust camera pose estimation is essential for high-level applications such as augmented reality and autonomous driving. Despite the development of global feature-based camera pose regression methods and local feature-based matching guided ...
Meng Xu +3 more
doaj +1 more source
A Generated Multi Branch Feature Fusion Model for Vehicle Re-identification
Brazilian Archives of Biology and Technology, 2021 Vehicle re-id play a very import role in recent public safety, it has received more and more attention. The local features (e.g. hanging decorations and stickers) are widely used for vehicle re-id, but the same local feature exists in one perspective ...
Hu Zhijun +4 more
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