Large-Scale Semantic Scene Understanding with Cross-Correction Representation

Real-time large-scale point cloud segmentation is an important but challenging task for practical applications such as remote sensing and robotics. Existing real-time methods have achieved acceptable performance by aggregating local information. However, most of them only exploit local spatial geome...

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Vydané v:	Remote sensing (Basel, Switzerland) Ročník 14; číslo 23; s. 6022
Hlavní autori:	Zhao, Yuehua, Zhang, Jiguang, Ma, Jie, Xu, Shibiao
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Basel MDPI AG 01.12.2022
Predmet:	Accuracy Alliances Autonomous vehicles Coders Complementarity cross-correction Deep learning Efficiency Image segmentation large-scale semantic segmentation Modules Neighborhoods Neural networks point cloud Real time Remote sensing Robotics Scene analysis semantic context Semantic segmentation Semantics Sensors spatial geometric Teaching methods
ISSN:	2072-4292, 2072-4292
On-line prístup:	Získať plný text
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