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GE-PointNeXt: self-gating and ECA-Enhanced set abstraction with hybrid training strategies for point cloud segmentation

Published Online: 2026-04-17

Published Print: 2026-05

Authors

Xie, Xianglong

Yao, Xifan
Funding

Funding for this research was provided by:

Guangdong Basic and Applied Basic Research Foundation (2024A1515011048, 2025A1515010139)

Ministry of Education of the People’s Republic of China (FIMFYUST-2025B03 (Open Fund of Key Laboratory of Future Intelligent Manufacturing Technologies for High-end Equipment, Fuyao University of Science and Technology))
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Text and Data Mining valid from 2026-04-17

Version of Record valid from 2026-04-17
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Article History

Received: 14 December 2025

Revised: 11 March 2026

Accepted: 24 March 2026

First Online: 17 April 2026

Declarations

:

: The authors declare no competing interests.

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