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Recurrent U-Net for Resource-Constrained Segmentation

Research article (2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019) · cited 107× · AI/ML
academia openalex:W2982182858
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Recurrent U-Net for Resource-Constrained Segmentation

Summary

Recurrent U-Net for Resource-Constrained Segmentation is a scholarly article[1].

Key Facts

  • Recurrent U-Net for Resource-Constrained Segmentation's instance of is recorded as scholarly article[2].

Related Entities

Pascal Vitali Fua

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). Recurrent U-Net for Resource-Constrained Segmentation. Retrieved May 24, 2026, from https://4ort.xyz/entity/recurrent-u-net-for-resource-constrained-segmentation
MLA “Recurrent U-Net for Resource-Constrained Segmentation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/recurrent-u-net-for-resource-constrained-segmentation.
BibTeX @misc{4ortxyz_recurrent-u-net-for-resource-constrained-segmentation_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Recurrent U-Net for Resource-Constrained Segmentation}}, year = {2026}, url = {https://4ort.xyz/entity/recurrent-u-net-for-resource-constrained-segmentation}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Recurrent U-Net for Resource-Constrained Segmentation — https://4ort.xyz/entity/recurrent-u-net-for-resource-constrained-segmentation (retrieved 2026-05-24)

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