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). WildScenes: A benchmark for 2D and 3D semantic segmentation in large-scale natural environments. Retrieved May 24, 2026, from https://4ort.xyz/entity/wildscenes-a-benchmark-for-2d-and-3d-semantic-segmentation-in-large-scale-natural-environments
MLA“WildScenes: A benchmark for 2D and 3D semantic segmentation in large-scale natural environments.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/wildscenes-a-benchmark-for-2d-and-3d-semantic-segmentation-in-large-scale-natural-environments.
BibTeX@misc{4ortxyz_wildscenes-a-benchmark-for-2d-and-3d-semantic-segmentation-in-large-scale-natural-environments_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{WildScenes: A benchmark for 2D and 3D semantic segmentation in large-scale natural environments}}, year = {2026}, url = {https://4ort.xyz/entity/wildscenes-a-benchmark-for-2d-and-3d-semantic-segmentation-in-large-scale-natural-environments}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): WildScenes: A benchmark for 2D and 3D semantic segmentation in large-scale natural environments — https://4ort.xyz/entity/wildscenes-a-benchmark-for-2d-and-3d-semantic-segmentation-in-large-scale-natural-environments (retrieved 2026-05-24)
