What is recorded here?
Unified masked text and image modeling and introduced word-patch alignment, using a common document Transformer representation for text- and image-centered tasks.
Source-linked catalogue note. A detailed explanatory guide has not yet been prepared for this entry.
Scientific scope
Extends the LayoutLM family through objective/representation design, not a new contribution for each dataset or model checkpoint. Uses inherited masked modeling and patch/tokenization ideas; no universal document comprehension guarantee.
Read the original work
- LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking
- Huang et al.: LayoutLMv3 unified text-image masking and alignment — official implementation
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People and systems
Yupan Huang; Tengchao Lv; Lei Cui; Yutong Lu; Furu Wei
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
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English catalogue narrative
Huang et al.: LayoutLMv3 unified text-image masking and alignment
Unified masked text and image modeling and introduced word-patch alignment, using a common document Transformer representation for text- and image-centered tasks.
Scientific scope
Extends the LayoutLM family through objective/representation design, not a new contribution for each dataset or model checkpoint. Uses inherited masked modeling and patch/tokenization ideas; no universal document comprehension guarantee.
Reading status
This is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.
People and systems
Yupan Huang; Tengchao Lv; Lei Cui; Yutong Lu; Furu Wei
Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.