AMS-Net: An Attention-Based Multi-Scale Network for Classification of 3D Terracotta Warrior Fragments

AMS-Net: An Attention-Based Multi-Scale Network for Classification of 3D Terracotta Warrior Fragments

As an essential step in the restoration of Terracotta Warriors, the results of fragments classification will directly affect the performance of fragments matching and splicing. However, most of the existing methods are based on traditional technology and have low accuracy in classification. A practi...

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Bibliographic Details
Main Authors: Jie Liu, Xin Cao, Pingchuan Zhang, Xueli Xu, Yangyang Liu, Guohua Geng, Fengjun Zhao, Kang Li, Mingquan Zhou
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Remote Sensing
Subjects:
self-attention
multi-scale
deep neural networks
point cloud classification
Terracotta Warrior fragments
Online Access:https://www.mdpi.com/2072-4292/13/18/3713

Internet

https://www.mdpi.com/2072-4292/13/18/3713

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