Work

SF-City: A Source-Free Domain Adaptation Method for City-Scale Point Cloud Semantic Segmentation

Year: 2025

Type: article

Source: IEEE Transactions on Multimedia

DOI: 10.1109/tmm.2025.3590934

Authors: Yan Liu, Hongyuan Zhu, Yinjie Lei, Hao Liu, Yun Pei, Yulan Guo

Institutions: Sun Yat-sen University, Agency for Science, Technology and Research, Institute for Infocomm Research, Sichuan University, Nanyang Technological University

Language: English

Topic: Domain Adaptation and Few-Shot Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Sustainable cities and communities

Open Access status: closed

Funders: National Natural Science Foundation of China, Sun Yat-sen University, Guangdong Science and Technology Department, Basic and Applied Basic Research Foundation of Guangdong Province

Awards: G4994134259, G5412412958, G622858442, G6583180023, G7593575001, G8226018429, G8252004906, G8813799148

OpenAlex ID: W4412605277

FWCI: 2.062

Cites: 62

Cited by: 5

Related to: 10