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Mesh-Based DGCNN: Semantic Segmentation of Textured 3-D Urban Scenes

Research article (IEEE Transactions on Geoscience and Remote Sensing, 2023) · cited 16× · AI/ML
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Mesh-Based DGCNN: Semantic Segmentation of Textured 3-D Urban Scenes

Summary

Mesh-Based DGCNN: Semantic Segmentation of Textured 3-D Urban Scenes is a scholarly article[1].

Key Facts

  • Mesh-Based DGCNN: Semantic Segmentation of Textured 3-D Urban Scenes'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). Mesh-Based DGCNN: Semantic Segmentation of Textured 3-D Urban Scenes. Retrieved May 24, 2026, from https://4ort.xyz/entity/mesh-based-dgcnn-semantic-segmentation-of-textured-3-d-urban-scenes
MLA “Mesh-Based DGCNN: Semantic Segmentation of Textured 3-D Urban Scenes.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/mesh-based-dgcnn-semantic-segmentation-of-textured-3-d-urban-scenes.
BibTeX @misc{4ortxyz_mesh-based-dgcnn-semantic-segmentation-of-textured-3-d-urban-scenes_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Mesh-Based DGCNN: Semantic Segmentation of Textured 3-D Urban Scenes}}, year = {2026}, url = {https://4ort.xyz/entity/mesh-based-dgcnn-semantic-segmentation-of-textured-3-d-urban-scenes}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Mesh-Based DGCNN: Semantic Segmentation of Textured 3-D Urban Scenes — https://4ort.xyz/entity/mesh-based-dgcnn-semantic-segmentation-of-textured-3-d-urban-scenes (retrieved 2026-05-24)

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