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Open World Entity Segmentation

Research article (IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022) · cited 47× · AI/ML
CreativeWork academia

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scholarly article[2]

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Authored by 5
Hengshuang Zhao, Jason Kuen, Jiuxiang Gu, Philip H. S. Torr, Zhe Lin
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Hengshuang Zhao, Jason Kuen, Jiuxiang Gu, Philip H. S. Torr, Zhe Lin
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Summary

Open World Entity Segmentation is a scholarly article[1].

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). Open World Entity Segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/open-world-entity-segmentation
MLA “Open World Entity Segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/open-world-entity-segmentation.
BibTeX @misc{4ortxyz_open-world-entity-segmentation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Open World Entity Segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/open-world-entity-segmentation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Open World Entity Segmentation — https://4ort.xyz/entity/open-world-entity-segmentation (retrieved 2026-05-24)

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