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DocFormer: End-to-End Transformer for Document Understanding

Research article (2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2021) · cited 283× · AI/ML
academia openalex:W3176664887
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DocFormer: End-to-End Transformer for Document Understanding

Summary

DocFormer: End-to-End Transformer for Document Understanding is a scholarly article[1].

Key Facts

  • DocFormer: End-to-End Transformer for Document Understanding'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). DocFormer: End-to-End Transformer for Document Understanding. Retrieved May 24, 2026, from https://4ort.xyz/entity/docformer-end-to-end-transformer-for-document-understanding
MLA “DocFormer: End-to-End Transformer for Document Understanding.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/docformer-end-to-end-transformer-for-document-understanding.
BibTeX @misc{4ortxyz_docformer-end-to-end-transformer-for-document-understanding_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DocFormer: End-to-End Transformer for Document Understanding}}, year = {2026}, url = {https://4ort.xyz/entity/docformer-end-to-end-transformer-for-document-understanding}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DocFormer: End-to-End Transformer for Document Understanding — https://4ort.xyz/entity/docformer-end-to-end-transformer-for-document-understanding (retrieved 2026-05-24)

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