Results 31 to 40 of about 10,481,137 (284)
Multi-scale Salient Feature Extraction on Mesh Models [PDF]
, 2012 We present a new method of extracting multi-scale salient features on meshes. It is based on robust estimation of curvature on multiple scales. The coincidence between salient feature and the scale of interest can be established straightforwardly, where detailed feature appears on small scale and feature with more global shape information shows up on ...
Yong-Liang Yang, Chao-Hui Shen
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, 2023 Deep Learning Model based on Multi-scale Feature Fusion for Precipitation ...
Tan-qqh
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IEEE Access, 2022 Due to its high spectral resolution, Hyperspectral remote sensing data can provide practically continuous spectral curves for target objects and fully reflect the detailed characteristics of ground objects.
Yigang Tang, Xiaolan Xie, Youhua Yu
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PLU-Net: Extraction of multi-scale feature fusion
CoRR, 2023 11 pages, 9 ...
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Scale Space Smoothing, Image Feature Extraction and Bessel Filters [PDF]
, 2011 The Green function of Mumford-Shah functional in the absence of discontinuities is known to be a modified Bessel function of the second kind and zero degree. Such a Bessel function is regularized here and used as a filter for feature extraction.
Mahmoodi, Sasan, Gunn, Steve
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A novel ResNet101 model based on dense dilated convolution for image classification
SN Applied Sciences, 2021 Image classification plays an important role in computer vision. The existing convolutional neural network methods have some problems during image classification process, such as low accuracy of tumor classification and poor ability of feature expression
Qi Zhang
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Integrating attention mechanism and multi-scale feature extraction for fall detection. [PDF]
HeliyonAddressing the critical need for accurate fall event detection due to their potentially severe impacts, this paper introduces the Spatial Channel and Pooling Enhanced You Only Look Once version 5 small (SCPE-YOLOv5s) model. Fall events pose a challenge for detection due to their varying scales and subtle pose features.
Chen H, Gu W, Zhang Q, Li X, Jiang X.
europepmc +4 more sources
Rethinking the Extraction and Interaction of Multi-Scale Features for Vessel Segmentation
CoRR, 2020 Analyzing the morphological attributes of blood vessels plays a critical role in the computer-aided diagnosis of many cardiovascular and ophthalmologic diseases. Although being extensively studied, segmentation of blood vessels, particularly thin vessels and capillaries, remains challenging mainly due to the lack of an effective interaction between ...
Yicheng Wu 0001 +5 more
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Multi-scale guided feature extraction and classification algorithm for hyperspectral images [PDF]
Scientific Reports, 2021 AbstractTo solve the problem that the traditional hyperspectral image classification method cannot effectively distinguish the boundary of objects with a single scale feature, which leads to low classification accuracy, this paper introduces the idea of guided filtering into hyperspectral image classification, and then proposes a multi-scale guided ...
Shiqi Huang +3 more
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Feature extraction of volume data based on multi-scale representation [PDF]
Proceedings of the 1st international conference on Computer graphics and interactive techniques in Austalasia and South East Asia - GRAPHITE '03, 2003 In this paper, we present a novel algorithm that can detect and extract salient points as features in 3-D volume datasets. This algorithm extracts not only the locations of feature points, but also finds out the scales at which the features are most significant.
Yinghui Wu +3 more
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