TFNet: point cloud Semantic Segmentation Network based on Triple feature extraction
Semantic segmentation of point clouds plays a crucial role in computer vision, with diverse applications in urban modelling, autonomous driving, and virtual reality. Despite its significance, many existing methods face challenges when dealing with large-scale datasets, such as (1) unclear or incompl...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | Geocarto International |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/10106049.2025.2489520 |
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