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GAC-Net:一个几何注意力融合网络,用于从LiDAR和图像中完成稀疏深度

Xingli Gan1, Kuang Zhu1, Min Sun1

  • 1School of Computer Science and Technology, Zhejiang University of Science and Technology, Hangzhou 310023, China.

Sensors (Basel, Switzerland)
|September 13, 2025
PubMed
概括

本研究介绍了GAC-Net用于深度完成,改善3D几何理解和多模式融合. 几何注意力融合网络在KITTI基准上取得了最先进的结果.

关键词:
3D几何表示 3D几何表示基于注意力的核聚变.计算机视觉 计算机视觉深度学习是一种深度学习.在深度完成完成.点云表示表示点云表示稀疏的激光雷达 (LiDAR) 是一个稀疏的激光雷达.

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