Attention Unet++ for lightweight depth estimation from sparse depth samples and a single RGB image

Research article (The Visual Computer, 2021) · cited 15× · AI/ML
Press Enter · cited answer in seconds

Attention Unet++ for lightweight depth estimation from sparse depth samples and a single RGB image

Summary

Attention Unet++ for lightweight depth estimation from sparse depth samples and a single RGB image is a scholarly article[1].

Key Facts

  • Attention Unet++ for lightweight depth estimation from sparse depth samples and a single RGB image's instance of is recorded as scholarly article[2].

📑 Cite this page

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). Attention Unet++ for lightweight depth estimation from sparse depth samples and a single RGB image. Retrieved May 24, 2026, from https://4ort.xyz/entity/attention-unet-for-lightweight-depth-estimation-from-sparse-depth-samples-and-a-single-rgb-image
MLA “Attention Unet++ for lightweight depth estimation from sparse depth samples and a single RGB image.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/attention-unet-for-lightweight-depth-estimation-from-sparse-depth-samples-and-a-single-rgb-image.
BibTeX @misc{4ortxyz_attention-unet-for-lightweight-depth-estimation-from-sparse-depth-samples-and-a-single-rgb-image_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Attention Unet++ for lightweight depth estimation from sparse depth samples and a single RGB image}}, year = {2026}, url = {https://4ort.xyz/entity/attention-unet-for-lightweight-depth-estimation-from-sparse-depth-samples-and-a-single-rgb-image}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Attention Unet++ for lightweight depth estimation from sparse depth samples and a single RGB image — https://4ort.xyz/entity/attention-unet-for-lightweight-depth-estimation-from-sparse-depth-samples-and-a-single-rgb-image (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/attention-unet-for-lightweight-depth-estimation-from-sparse-depth-samples-and-a-single-rgb-image · Last refreshed: