ExPart3D : Exclusive part aggregation for zero-shot point cloud learning

Yun Hao

doi:10.1016/j.eswa.2026.132370

2026-04-07

PRE

DOI：10.1016/j.eswa.2026.132370

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摘要

En 中文

• 新框架发现3D点云零样本学习的专属物体部件。• 高效双分支聚合：基于池化和基于图的方法。• 在ModelNet40、McGill和ScanObjectNN数据集上达到最佳性能。

Keyword:

ExPart3D

zero-shot learning

3D point cloud

object parts

dual-branch aggregation

期刊

Expert Systems with Applications

IF:

7.5

论文数:

3.0W

被引数:

10.2W

机构

tencent inc.

学者数:

论文数: 6

被引数: 0

South China University of Technology

学者数:

2.3K

论文数: 853

被引数: 8.3W

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