Document Binarization via Multi-resolutional Attention Model with DRD Loss

Research article (2019 International Conference on Document Analysis and Recognition (ICDAR), 2019) · cited 24× · AI/ML

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Document Binarization via Multi-resolutional Attention Model with DRD Loss

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Document Binarization via Multi-resolutional Attention Model with DRD Loss is a scholarly article^[1].

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Document Binarization via Multi-resolutional Attention Model with DRD Loss's instance of is recorded as scholarly article^[2].

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Authored by 2

Huaigu Cao, Xujun Peng

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Huaigu Cao, Xujun Peng

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[2] ↑ Document Binarization via Multi-resolutional Attention Model with DRD Loss — instance of (P31): scholarly article. wikidata.org.

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[1] ↑ Document Binarization via Multi-resolutional Attention Model with DRD Loss is an instance of scholarly article (scholarly article) [P31, primary]. Wikidata. wikidata.org.

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4ort.xyz Knowledge Graph. (2026). Document Binarization via Multi-resolutional Attention Model with DRD Loss. Retrieved May 24, 2026, from https://4ort.xyz/entity/document-binarization-via-multi-resolutional-attention-model-with-drd-loss

MLA

“Document Binarization via Multi-resolutional Attention Model with DRD Loss.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/document-binarization-via-multi-resolutional-attention-model-with-drd-loss.

BibTeX

@misc{4ortxyz_document-binarization-via-multi-resolutional-attention-model-with-drd-loss_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Document Binarization via Multi-resolutional Attention Model with DRD Loss}}, year = {2026}, url = {https://4ort.xyz/entity/document-binarization-via-multi-resolutional-attention-model-with-drd-loss}, note = {Accessed: 2026-05-24}}

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According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Document Binarization via Multi-resolutional Attention Model with DRD Loss — https://4ort.xyz/entity/document-binarization-via-multi-resolutional-attention-model-with-drd-loss (retrieved 2026-05-24)

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