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Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals

Research article (2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021) · cited 227× · AI/ML
academia openalex:W3129110783
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Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals

Summary

Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals is a scholarly article[1].

Key Facts

  • Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals's instance of is recorded as scholarly article[2].

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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). Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. Retrieved May 24, 2026, from https://4ort.xyz/entity/unsupervised-semantic-segmentation-by-contrasting-object-mask-proposals
MLA “Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/unsupervised-semantic-segmentation-by-contrasting-object-mask-proposals.
BibTeX @misc{4ortxyz_unsupervised-semantic-segmentation-by-contrasting-object-mask-proposals_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals}}, year = {2026}, url = {https://4ort.xyz/entity/unsupervised-semantic-segmentation-by-contrasting-object-mask-proposals}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals — https://4ort.xyz/entity/unsupervised-semantic-segmentation-by-contrasting-object-mask-proposals (retrieved 2026-05-24)

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