Results 41 to 50 of about 10,481,137 (284)
Algorithms for Mobile Robot Localization and Mapping, Incorporating Detailed Noise Modeling and Multi-scale Feature Extraction [PDF]
, 2006 Mobile robot localization and mapping in unknown environments is a fundamental requirement for effective autonomous navigation. Three different approaches to localization and mapping are presented.
Pfister, Samuel Thomas
core +1 more source
An improved multi-scale feature extraction network for medical image segmentation. [PDF]
Quant Imaging Med SurgThe use of U-Net and its variations has led to significant advancements in medical image segmentation. However, the encoder-decoder structures of these models often lose spatial information during downsampling. Skip connections can help address this issue; however, they may also introduce excessive irrelevant background information.
Guo H, Shi L, Liu J.
europepmc +3 more sources
Remote Sensing, 2021 Multifarious hyperspectral image (HSI) classification methods based on convolutional neural networks (CNN) have been gradually proposed and achieve a promising classification performance.
Dongxu Liu +6 more
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Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction
CoRR, 2021 Learning on graphs has attracted significant attention in the learning community due to numerous real-world applications. In particular, graph neural networks (GNNs), which take numerical node features and graph structure as inputs, have been shown to achieve state-of-the-art performance on various graph-related learning tasks.
Eli Chien +6 more
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Stereo Matching Network with Multi-Cost Fusion [PDF]
Jisuanji gongcheng, 2022 In stereo matching networks, the feature extraction process is key for improving the accuracy of binocular stereo matching.To extract image feature information, this study combines the characteristics of dense atrous convolution, spatial pyramid pooling,
ZHANG Xiying, WANG Houbo, BIAN Jilong
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Multi-Scale Curvatures for Contour Feature Extraction
Transactions of the Society of Instrument and Control Engineers, 1988 A method is described to extract features of contour of a figure based on its curvature. For a digital figure, curvatures are approximated by using differences of contour tangential angles at two points apart from each other with an appropriate distance scale. In this method, a set of curvatures with various scales is calculated, and from the curvature
openaire +2 more sources
Scene Uyghur Text Detection Based on Fine-Grained Feature Representation
Sensors, 2022 Scene text detection task aims to precisely localize text in natural environments. At present, the application scenarios of text detection topics have gradually shifted from plain document text to more complex natural scenarios.
Yiwen Wang +4 more
doaj +1 more source
rajeswary3/feature-extraction: Feature Extraction in Opinion Mining v1.0
, 2023 <p>Feature extraction from consumer reviews using enhanced rules</p ...
rajeswary3
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On Using Physical Analogies for Feature and Shape Extraction in Computer Vision
, 2008 There is a rich literature of approaches to image feature extraction in computer vision. Many sophisticated approaches exist for low- and high-level feature extraction but can be complex to implement with parameter choice guided by experimentation, but ...
Hurley, David +7 more
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ELMGAN: A GAN-based efficient lightweight multi-scale-feature-fusion multi-task model
, 2022 Cell segmentation and counting is a time-consuming and important experimental step in traditional biomedical research. Many current counting methods are Point-based methods which require exact cell locations.
SH Wang (7719563) +2 more
core +3 more sources