PointMTL: Multi-Transform Learning for Effective 3D Point Cloud Representations

PointMTL: Multi-Transform Learning for Effective 3D Point Cloud Representations

Effectively learning and extracting the feature representations of 3D point clouds is an important yet challenging task. Most of existing works achieve reasonable performance in 3D vision tasks by modeling the relationships among points appropriately. However, the feature representations are only le...

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Bibliographic Details
Main Authors: Yifan Jian, Yuwei Yang, Zhi Chen, Xianguo Qing, Yang Zhao, Liang He, Xuekun Chen, Wei Luo
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
3D point clouds
feature representations
multi-transform learning
semantic segmentation
Online Access:https://ieeexplore.ieee.org/document/9474491/

Internet

https://ieeexplore.ieee.org/document/9474491/

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