Results 11 to 20 of about 340,289 (296)
SADNet: Space-aware DeepLab network for Urban-Scale point clouds semantic segmentation
International Journal of Applied Earth Observations and GeoinformationSemantic segmentation of urban-scale point clouds can effectively assist people in understanding and perceiving 3D urban scenes. Although a considerable number of deep learning models for the semantic segmentation of point clouds have been proposed, some
Wenxiao Zhan, Jing Chen
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Lumbar and pelvic CT image segmentation based on cross-scale feature fusion and linear self-attention mechanism [PDF]
Scientific ReportsThe lumbar spine and pelvis are critical stress-bearing structures of the human body, and their rapid and accurate segmentation plays a vital role in clinical diagnosis and intervention.
Chaofan Li +3 more
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Fast Mumford-Shah segmentation using image scale space bases
SPIE Proceedings, 2007 Image segmentation using the piecewise smooth variational model proposed by Mumford and Shah is both robust and computationally expensive. Fortunately, both the intermediate segmentations computed in the process of the evolution, and the final segmentation itself have a common structure.
Christopher Alvino, Anthony Yezzi
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Coarse-to-Fine Segmentation With Shape-Tailored Scale Spaces
, 2016 We formulate a general energy and method for segmentation that is designed to have preference for segmenting the coarse structure over the fine structure of the data, without smoothing across boundaries of regions. The energy is formulated by considering data terms at a continuum of scales from the scale space computed from the Heat Equation within ...
Ganesh Sundaramoorthi +2 more
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Texture segmentation using local energy in wavelet scale space
, 1996 Wavelet transforms are attracting increasing interest in computer vision because they provide a mathematical tool for multiscale image analysis. In this paper, we show that i) the subsampled wavelet multiresolution representation is translationally variant; and ii) a wavelet transform of a signal generally confounds the phase component of the analysing
Zhuoyang Xie, Michael Brady
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SA-UMamba: Spatial attention convolutional neural networks for medical image segmentation. [PDF]
PLoS ONEMedical image segmentation plays an important role in medical diagnosis and treatment. Most recent medical image segmentation methods are based on a convolutional neural network (CNN) or Transformer model.
Lei Liu +4 more
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Scale Space Approximation in Convolutional Neural Networks for Retinal Vessel Segmentation
, 2018 10 pages, 7 ...
Kyoung Jin Noh +2 more
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Latent space unsupervised semantic segmentation
Frontiers in Physiology, 2023 The development of compact and energy-efficient wearable sensors has led to an increase in the availability of biosignals. To effectively and efficiently analyze continuously recorded and multidimensional time series at scale, the ability to perform ...
Knut J. Strommen +4 more
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Multi-Scale Deep Neural Network Based on Dilated Convolution for Spacecraft Image Segmentation
Sensors, 2022 In recent years, image segmentation techniques based on deep learning have achieved many applications in remote sensing, medical, and autonomous driving fields.
Yuan Liu +5 more
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IET Image Processing, 2023 Iris segmentation is a critical step in the iris recognition system. Since the quality of iris database taken under different camera sensors varies greatly, thus most existing iris segmentation methods are designed for a particular collection device ...
Guang Huo, Dawei Lin, Meng Yuan
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