Mixed Feature Prediction on Boundary Learning for Point Cloud Semantic Segmentation

Existing point cloud semantic segmentation approaches do not perform well on details, especially for the boundary regions. However, supervised-learning-based methods depend on costly artificial annotations for performance improvement. In this paper, we bridge this gap by designing a self-supervised...

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Bibliographic Details
Main Authors: Fengda Hao, Jiaojiao Li, Rui Song, Yunsong Li, Kailang Cao
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/14/19/4757