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FFA-Net: fast feature aggregation network for 3D point cloud segmentation

Research article (Machine Vision and Applications, 2023) · cited 11× · AI/ML
academia openalex:W4385386873
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FFA-Net: fast feature aggregation network for 3D point cloud segmentation

Summary

FFA-Net: fast feature aggregation network for 3D point cloud segmentation is a scholarly article[1].

Key Facts

  • FFA-Net: fast feature aggregation network for 3D point cloud segmentation's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). FFA-Net: fast feature aggregation network for 3D point cloud segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/ffa-net-fast-feature-aggregation-network-for-3d-point-cloud-segmentation
MLA “FFA-Net: fast feature aggregation network for 3D point cloud segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ffa-net-fast-feature-aggregation-network-for-3d-point-cloud-segmentation.
BibTeX @misc{4ortxyz_ffa-net-fast-feature-aggregation-network-for-3d-point-cloud-segmentation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{FFA-Net: fast feature aggregation network for 3D point cloud segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/ffa-net-fast-feature-aggregation-network-for-3d-point-cloud-segmentation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): FFA-Net: fast feature aggregation network for 3D point cloud segmentation — https://4ort.xyz/entity/ffa-net-fast-feature-aggregation-network-for-3d-point-cloud-segmentation (retrieved 2026-05-24)

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