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SIUNet: Sparsity Invariant U-Net for Edge-Aware Depth Completion

Research article (2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023) · cited 11× · AI/ML
academia openalex:W4319300986
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SIUNet: Sparsity Invariant U-Net for Edge-Aware Depth Completion

Summary

SIUNet: Sparsity Invariant U-Net for Edge-Aware Depth Completion is a scholarly article[1].

Key Facts

  • SIUNet: Sparsity Invariant U-Net for Edge-Aware Depth Completion's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

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). SIUNet: Sparsity Invariant U-Net for Edge-Aware Depth Completion. Retrieved May 24, 2026, from https://4ort.xyz/entity/siunet-sparsity-invariant-u-net-for-edge-aware-depth-completion
MLA “SIUNet: Sparsity Invariant U-Net for Edge-Aware Depth Completion.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/siunet-sparsity-invariant-u-net-for-edge-aware-depth-completion.
BibTeX @misc{4ortxyz_siunet-sparsity-invariant-u-net-for-edge-aware-depth-completion_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{SIUNet: Sparsity Invariant U-Net for Edge-Aware Depth Completion}}, year = {2026}, url = {https://4ort.xyz/entity/siunet-sparsity-invariant-u-net-for-edge-aware-depth-completion}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): SIUNet: Sparsity Invariant U-Net for Edge-Aware Depth Completion — https://4ort.xyz/entity/siunet-sparsity-invariant-u-net-for-edge-aware-depth-completion (retrieved 2026-05-24)

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