Multi-scale sparse convolution and point convolution adaptive fusion point cloud semantic segmentation method

Yuxuan Bi; Peng Liu; Tianyi Zhang; Jialin Shi; Caixia Wang

doi:10.1038/s41598-025-88905-5

Multi-scale sparse convolution and point convolution adaptive fusion point cloud semantic segmentation method

Y Yuxuan Bi P Peng Liu T Tianyi Zhang J Jialin Shi (National Synchrotron Radiation Laboratory, CAS Center for Excellence in Nanoscience) C Caixia Wang

Download PDF View Original

APA MLA Chicago BibTeX RIS

Article Details

Journal Scientific Reports

Volume / Issue Vol. 15, Issue 1

Published February 05, 2025

DOI 10.1038/s41598-025-88905-5

ISSN 2045-2322

Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (5)

Y

Yuxuan Bi

P

Peng Liu

T

Tianyi Zhang

J

Jialin Shi

National Synchrotron Radiation Laboratory, CAS Center for Excellence in Nanoscience

C

Caixia Wang

Multi-scale sparse convolution and point convolution adaptive fusion point cloud semantic segmentation method

Article Details

Journal Info

Authors (5)

Related Articles from this Journal

AI models of unstable flow exhibit hallucination

The MCAA-YOLO + XPBI integrated model provides a hybrid intelligent measurement method for predicting the body weight of Hu sheep

Application of iron nano-biofertilizers as a sustainable approach to enhance growth and micronutrient uptake in soybean

Adolescents’ status-dependent public and private conformity to prosocial and antisocial decisions in a public goods game

An explainable hierarchical capsule network framework for supporting expert sensory evaluation of herbal medicines with natural language generation