LiDARNet: A Boundary-Aware Domain Adaptation Model for Point Cloud Semantic Segmentation

doi:doi:10.57702/4xyx1tr7

LiDARNet: A Boundary-Aware Domain Adaptation Model for Point Cloud Semantic Segmentation

A boundary-aware domain adaptation model for LiDAR scan full-scene semantic segmentation (Li-DARNet).

Data and Resources

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The json representation of the dataset with its distributions based on DCAT.
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Peng Jiang, Srikanth Saripalli (2024). Dataset: LiDARNet: A Boundary-Aware Domain Adaptation Model for Point Cloud Semantic Segmentation. https://doi.org/10.57702/4xyx1tr7

DOI retrieved: December 2, 2024

Additional Info

Field	Value
Created	December 2, 2024
Last update	December 2, 2024
Author	Peng Jiang
More Authors	Srikanth Saripalli
Homepage	https://unmannedlab.github.io/research/SemanticUSL