Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels

Research article (Neural Information Processing Systems, 2019) · cited 20× · AI/ML
Press Enter · cited answer in seconds

Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels

Summary

Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels is a scholarly article[1].

Key Facts

  • Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels'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). Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels. Retrieved May 24, 2026, from https://4ort.xyz/entity/correlated-uncertainty-for-learning-dense-correspondences-from-noisy-labels
MLA “Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/correlated-uncertainty-for-learning-dense-correspondences-from-noisy-labels.
BibTeX @misc{4ortxyz_correlated-uncertainty-for-learning-dense-correspondences-from-noisy-labels_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels}}, year = {2026}, url = {https://4ort.xyz/entity/correlated-uncertainty-for-learning-dense-correspondences-from-noisy-labels}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels — https://4ort.xyz/entity/correlated-uncertainty-for-learning-dense-correspondences-from-noisy-labels (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/correlated-uncertainty-for-learning-dense-correspondences-from-noisy-labels · Last refreshed: