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DPGLA: Bridging the Gap between Synthetic and Real Data for Unsupervised Domain Adaptation in 3D LiDAR Semantic Segmentation

Year: 2025

Type: conference-paper

Source: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

DOI: 10.1109/iros60139.2025.11245827

Authors: Wanmeng Li, Simone Mosco, Daniel Fusaro, Alberto Pretto

Institution: University of Padua

Language: English

Topic: Domain Adaptation and Few-Shot Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4416747972

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Cites: 43

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