Towards semantic segmentation of urban-scale 3D point clouds: A dataset, benchmarks and challenges
An essential prerequisite for unleashing the potential of supervised deep learning algorithms in the area of 3D scene understanding is the availability of large-scale and richly annotated datasets. However, publicly available datasets are either in relative small spatial scales or have limited seman...
| Hlavní autoři: | , , , , , |
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| Médium: | Conference item |
| Jazyk: | English |
| Vydáno: |
IEEE
2021
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