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Adversarial Bayesian Augmentation for Single-Source Domain Generalization

Research article (2023 IEEE/CVF International Conference on Computer Vision (ICCV), 2023) · cited 21× · AI/ML
CreativeWork academia

Facts

4 properties
Instance of
scholarly article[2]
Publication date
October 1, 2023as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
Sponsor
National Science Foundationas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
Title
Adversarial Bayesian Augmentation for Single-Source Domain Generalizationas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
OpenAlex ID
W4390871721as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded
DOI
10.1109/ICCV51070.2023.01047as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
Transform
4ort-mint · openalex:20260923 · version not recorded

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📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Authored by 2
Sheng Cheng, Tejas Gokhale
← Author of 2
Sheng Cheng, Tejas Gokhale
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Summary

Adversarial Bayesian Augmentation for Single-Source Domain Generalization is a scholarly article[1].

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). Adversarial Bayesian Augmentation for Single-Source Domain Generalization. Retrieved October 20, 2026, from https://4ort.xyz/entity/adversarial-bayesian-augmentation-for-single-source-domain-generalization
MLA “Adversarial Bayesian Augmentation for Single-Source Domain Generalization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 20 Oct. 2026, https://4ort.xyz/entity/adversarial-bayesian-augmentation-for-single-source-domain-generalization.
BibTeX @misc{4ortxyz_adversarial-bayesian-augmentation-for-single-source-domain-generalization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Adversarial Bayesian Augmentation for Single-Source Domain Generalization}}, year = {2026}, url = {https://4ort.xyz/entity/adversarial-bayesian-augmentation-for-single-source-domain-generalization}, note = {Accessed: 2026-10-20}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Adversarial Bayesian Augmentation for Single-Source Domain Generalization — https://4ort.xyz/entity/adversarial-bayesian-augmentation-for-single-source-domain-generalization (retrieved 2026-10-20)

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