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HALNet:基于混合注意力和深部本地特征的部分点云注册.

Deling Wang1, Huadan Hao1, Jinsong Zhang1

  • 1School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China.

Sensors (Basel, Switzerland)
|May 11, 2024
PubMed
概括

HALNet使用自适应图形卷积和混合注意力机制提高了部分点云注册的准确性. 这种新型网络通过在精度和减少错误方面超越现有方法来增强3D重建和目标识别.

关键词:
关注注意力注意力注意力注意力深度学习是一种深度学习.功能提取 特性提取一部分的点云.注册注册注册注册注册注册注册注册是什么意思

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