Open-Vocabulary Segmentation of Aerial Point Clouds
The growing diversity and dynamics of urban environments demand 3D semantic segmentation methods that can recognize a wide range of objects without relying on predefined classes or time-consuming labelled training data. As urban scenes evolve and application requirements vary across locations, flexi...
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| Hoofdauteurs: | , |
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| Formaat: | Artigo |
| Taal: | Inglês |
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MDPI AG
2026-02-01
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| Reeks: | Remote Sensing |
| Onderwerpen: | |
| Online toegang: | https://www.mdpi.com/2072-4292/18/4/572 |
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