MFFRand: Semantic Segmentation of Point Clouds Based on Multi-Scale Feature Fusion and Multi-Loss Supervision

MFFRand: Semantic Segmentation of Point Clouds Based on Multi-Scale Feature Fusion and Multi-Loss Supervision

With the application of the random sampling method in the down-sampling of point clouds data, the processing speed of point clouds has been greatly improved. However, the utilization of semantic information is still insufficient. To address this problem, we propose a point cloud semantic segmentatio...

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Bibliographic Details
Main Authors: Zhiqing Miao, Shaojing Song, Pan Tang, Jian Chen, Jinyan Hu, Yumei Gong
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Electronics
Subjects:
point clouds
semantic segmentation
feature fusion
multi-loss supervision
Online Access:https://www.mdpi.com/2079-9292/11/21/3626

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