Home › Entities › academia › H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging Epipolar Geometry

H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging Epipolar Geometry

Research article (2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022) · cited 21× · AI/ML
academia openalex:W3159270659
Press Enter · cited answer in seconds

H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging Epipolar Geometry

Summary

H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging Epipolar Geometry is a scholarly article[1].

Key Facts

  • H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging Epipolar Geometry'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.

📑 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). H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging Epipolar Geometry. Retrieved May 24, 2026, from https://4ort.xyz/entity/h-net-unsupervised-attention-based-stereo-depth-estimation-leveraging-epipolar-geometry
MLA “H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging Epipolar Geometry.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/h-net-unsupervised-attention-based-stereo-depth-estimation-leveraging-epipolar-geometry.
BibTeX @misc{4ortxyz_h-net-unsupervised-attention-based-stereo-depth-estimation-leveraging-epipolar-geometry_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging Epipolar Geometry}}, year = {2026}, url = {https://4ort.xyz/entity/h-net-unsupervised-attention-based-stereo-depth-estimation-leveraging-epipolar-geometry}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): H-Net: Unsupervised Attention-based Stereo Depth Estimation Leveraging Epipolar Geometry — https://4ort.xyz/entity/h-net-unsupervised-attention-based-stereo-depth-estimation-leveraging-epipolar-geometry (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/h-net-unsupervised-attention-based-stereo-depth-estimation-leveraging-epipolar-geometry · Last refreshed: