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.
APA4ort.xyz Knowledge Graph. (2026). SDANet: spatial deep attention-based for point cloud classification and segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/sdanet-spatial-deep-attention-based-for-point-cloud-classification-and-segmentation
MLA“SDANet: spatial deep attention-based for point cloud classification and segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/sdanet-spatial-deep-attention-based-for-point-cloud-classification-and-segmentation.
BibTeX@misc{4ortxyz_sdanet-spatial-deep-attention-based-for-point-cloud-classification-and-segmentation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SDANet: spatial deep attention-based for point cloud classification and segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/sdanet-spatial-deep-attention-based-for-point-cloud-classification-and-segmentation}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SDANet: spatial deep attention-based for point cloud classification and segmentation — https://4ort.xyz/entity/sdanet-spatial-deep-attention-based-for-point-cloud-classification-and-segmentation (retrieved 2026-05-24)
