Results 41 to 50 of about 340,289 (296)
LEST: Large-Scale LiDAR Semantic Segmentation With Deployment-Friendly Transformer Architecture
IEEE AccessLarge-scale LiDAR-based point cloud semantic segmentation is a critical challenge for autonomous driving perception. Most state-of-the-art LiDAR semantic segmentation methods rely on complex operators, such as sparse 3D convolutions or KdTree structures,
Chuanyu Luo +6 more
doaj +1 more source
Multilevel Space-Time Aggregation for Bright Field Cell Microscopy Segmentation and Tracking
International Journal of Biomedical Imaging, 2010 A multilevel aggregation method is applied to the problem of segmenting live cell bright field microscope images. The method employed is a variant of the so-called “Segmentation by Weighted Aggregation” technique, which itself is based on Algebraic ...
Tiffany Inglis +6 more
doaj +1 more source
Mountain Segmentation Based on Global Optimization with the Cloth Simulation Constraint
Remote Sensing, 2023 Mountains are an important research object for surveying, mapping, cartography, space science, and ecological remote sensing. Automatic mountain segmentation is one of the most critical techniques in large-scale mountain analyses.
Lekang Wen, Jun He, Xu Huang
doaj +1 more source
Scale-Space Processing of Point-Sampled Geometry for Efficient 3D Object Segmentation [PDF]
IEICE Transactions on Information and Systems, 2004 In this paper, we present a new framework for analyzing and segmenting point-sampled 3D objects. Our method first computes for each surface point the surface curvature distribution by applying the principal component analysis on local neighborhoods with different sizes.
Hamid Laga +2 more
openaire +2 more sources
Robust region detection via consensus segmentation of deformable shapes [PDF]
, 2014 We consider the problem of stable region detection and segmentation of deformable shapes. We pursue this goal by determining a consensus segmentation from a heterogeneous ensemble of putative segmentations, which are generated by a clustering process on ...
Rodolà, E. +2 more
core +1 more source
FEBS Letters, EarlyView.B cells sense external mechanical forces and convert them into biochemical signals through mechanotransduction. Understanding how malignant B cells respond to physical stimuli represents a groundbreaking area of research. This review examines the key mechano‐related molecules and pathways in B lymphocytes, highlights the most relevant techniques to ...
Marta Sampietro +2 more
wiley +1 more source
Multiscale Active Contours [PDF]
, 2018 We propose a new multiscale image segmentation model, based on the active contour/snake model and the Polyakov action. The concept of scale, general issue in physics and signal processing, is introduced in the active contour model, which is a well-known ...
Bresson, Xavier +2 more
core
SBNet: Sparse Blocks Network for Fast Inference
, 2018 Conventional deep convolutional neural networks (CNNs) apply convolution operators uniformly in space across all feature maps for hundreds of layers - this incurs a high computational cost for real-time applications.
Pokrovsky, Andrei +3 more
core +1 more source
FEBS Letters, EarlyView.Exposure to common noxious agents (1), including allergens, pollutants, and micro‐nanoplastics, can cause epithelial barrier damage (2) in our body's protective linings. This may trigger an immune response to our microbiome (3). The epithelial barrier theory explains how this process can lead to chronic noncommunicable diseases (4) affecting organs ...
Can Zeyneloglu +17 more
wiley +1 more source
Video-based Sign Language Recognition without Temporal Segmentation
, 2018 Millions of hearing impaired people around the world routinely use some variants of sign languages to communicate, thus the automatic translation of a sign language is meaningful and important.
Huang, Jie +4 more
core +1 more source