Cross-Domain Few-Shot 3D Point Cloud Semantic Segmentation

doi:10.1016/j.patrec.2025.07.001

	Cross-Domain Few-Shot 3D Point Cloud Semantic Segmentation
	Xiao, Jiwei ; Wang, Ruiping 1; He, Chen ; Chen, Xilin
	2025-11-01
发表期刊	PATTERN RECOGNITION LETTERS
ISSN	0167-8655
卷号	197 页码:51-57
摘要	Training fully supervised 3D point cloud semantic segmentation models is hindered by the need for extensive datasets and expensive annotation, limiting rapid expansion to additional categories. In response to these challenges, Few-Shot 3D Point Cloud Semantic Segmentation (3D FS-SSeg) methods utilize less labeled scene data to generalize to new categories. However, these approaches still depend on laboriously annotated semantic labels in 3D scenes. To address this limitation, we propose a more practical task named Cross-Domain Few-Shot 3D Point Cloud Semantic Segmentation (3D CD-FS-SSeg). In this task, we expand the model's ability to segment point clouds of novel classes in unknown scenes by leveraging a small amount of low-cost CAD object model data or RGB-D image data as a support set. To accomplish the above task, we propose an approach that consists of two main blocks: a Cross Domain Adaptation (CDA) module that transfers the contextual information of the query scene to the support object to reduce the cross-domain gap, and a Multiple Prototypes Discriminative (MPD) loss that enhances inter-class variation while reducing intra-class variation. Experimental results on the ScanNet and S3DIS datasets demonstrate that our proposed method provides a significant improvement on the 3D CD-FS-SSeg benchmark.
关键词	3D semantic segmentation Cross Domain Adaptation Few-shot learning
DOI	10.1016/j.patrec.2025.07.001
收录类别	SCI
语种	英语
资助项目	National Key R&D Program of China[2021ZD0111901] ; National Key R&D Program of China[2023YFF1105104] ; Natural Science Foundation of China[U21B2025]
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:001541029600001
出版者	ELSEVIER
引用统计
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/42009
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Wang, Ruiping
作者单位	1.Chinese Acad Sci, Inst Comp Technol, State Key Lab AI Safety, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Xiao, Jiwei,Wang, Ruiping,He, Chen,et al. Cross-Domain Few-Shot 3D Point Cloud Semantic Segmentation[J]. PATTERN RECOGNITION LETTERS,2025,197:51-57.
APA	Xiao, Jiwei,Wang, Ruiping,He, Chen,&Chen, Xilin.(2025).Cross-Domain Few-Shot 3D Point Cloud Semantic Segmentation.PATTERN RECOGNITION LETTERS,197,51-57.
MLA	Xiao, Jiwei,et al."Cross-Domain Few-Shot 3D Point Cloud Semantic Segmentation".PATTERN RECOGNITION LETTERS 197(2025):51-57.