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Generating Realistic Binarization Data with Generative Adversarial Networks

Research article (2019 International Conference on Document Analysis and Recognition (ICDAR), 2019) · cited 13× · AI/ML
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Generating Realistic Binarization Data with Generative Adversarial Networks

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Generating Realistic Binarization Data with Generative Adversarial Networks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Generating Realistic Binarization Data with Generative Adversarial Networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/generating-realistic-binarization-data-with-generative-adversarial-networks
MLA “Generating Realistic Binarization Data with Generative Adversarial Networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/generating-realistic-binarization-data-with-generative-adversarial-networks.
BibTeX @misc{4ortxyz_generating-realistic-binarization-data-with-generative-adversarial-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Generating Realistic Binarization Data with Generative Adversarial Networks}}, year = {2026}, url = {https://4ort.xyz/entity/generating-realistic-binarization-data-with-generative-adversarial-networks}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Generating Realistic Binarization Data with Generative Adversarial Networks — https://4ort.xyz/entity/generating-realistic-binarization-data-with-generative-adversarial-networks (retrieved 2026-05-24)

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