RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds

Research article (2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020) · cited 1,995× · AI/ML
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RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds

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RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds. Retrieved May 24, 2026, from https://4ort.xyz/entity/randla-net-efficient-semantic-segmentation-of-large-scale-point-clouds
MLA “RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/randla-net-efficient-semantic-segmentation-of-large-scale-point-clouds.
BibTeX @misc{4ortxyz_randla-net-efficient-semantic-segmentation-of-large-scale-point-clouds_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds}}, year = {2026}, url = {https://4ort.xyz/entity/randla-net-efficient-semantic-segmentation-of-large-scale-point-clouds}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds — https://4ort.xyz/entity/randla-net-efficient-semantic-segmentation-of-large-scale-point-clouds (retrieved 2026-05-24)

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