LayoutLMv3 (large)

Reported on 2 benchmarks across 2 tasks · 1 paper · 2 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Natural Language Processing4 results

Entity LinkingonEC-FUNSD
F1· 2022-04-18
78.14
best: 87.42 (RORE (GeoLayoutLM))
SOTA
LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking arXiv:2204.08387
Semantic entity labelingonEC-FUNSD
F1· 2022-04-18
83.88
best: 84.53 (RORE (LayoutLMv3-large))
SOTA
LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking arXiv:2204.08387
Entity LinkingonEC-FUNSD
F1· 2022-04-18
78.14
best: 87.42 (RORE (GeoLayoutLM))
LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking arXiv:2204.08387
Semantic entity labelingonEC-FUNSD
F1· 2022-04-18
83.88
best: 84.53 (RORE (LayoutLMv3-large))
LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking arXiv:2204.08387