Cross-modal unsupervised domain adaptation for 3D semantic segmentation via multi-scale fusion-then-distillation

Cross-modal unsupervised domain adaptation for 3D semantic segmentation via multi-scale fusion-then-distillation

Abstract Cross-modal unsupervised domain adaptation (UDA) method demonstrates remarkable domain adaptation capabilities when dealing with new domain samples lacking annotations. It has become a research hotspot in 3D semantic segmentation, which requires a large amount of labor-intensive annotated p...

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Bibliographic Details
Main Authors: Maomao Sun, Ting Rui, Jianqing Liu, Dong Wang, Chengsong Yang, Nan Zheng
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
3D semantic segmentation
Knowledge distillation
Point clouds
Unsupervised domain adaptation
Online Access:https://doi.org/10.1007/s44443-025-00201-4
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https://doi.org/10.1007/s44443-025-00201-4

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