Home › Entities › academia › DG2GAN: improving defect recognition performance with generated defect image sample

DG2GAN: improving defect recognition performance with generated defect image sample

Research article (Scientific Reports, 2024) · cited 22× · AI/ML
academia openalex:W4400033693
Press Enter · cited answer in seconds

DG2GAN: improving defect recognition performance with generated defect image sample

Summary

DG2GAN: improving defect recognition performance with generated defect image sample is a scholarly article[1].

Key Facts

  • DG2GAN: improving defect recognition performance with generated defect image sample'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). DG2GAN: improving defect recognition performance with generated defect image sample. Retrieved May 24, 2026, from https://4ort.xyz/entity/dg2gan-improving-defect-recognition-performance-with-generated-defect-image-sample
MLA “DG2GAN: improving defect recognition performance with generated defect image sample.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/dg2gan-improving-defect-recognition-performance-with-generated-defect-image-sample.
BibTeX @misc{4ortxyz_dg2gan-improving-defect-recognition-performance-with-generated-defect-image-sample_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DG2GAN: improving defect recognition performance with generated defect image sample}}, year = {2026}, url = {https://4ort.xyz/entity/dg2gan-improving-defect-recognition-performance-with-generated-defect-image-sample}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DG2GAN: improving defect recognition performance with generated defect image sample — https://4ort.xyz/entity/dg2gan-improving-defect-recognition-performance-with-generated-defect-image-sample (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/dg2gan-improving-defect-recognition-performance-with-generated-defect-image-sample · Last refreshed: