Semantic Entity Labeling On Ec Funsd
Métriques
F1
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | F1 | Paper Title | Repository |
|---|---|---|---|
| RORE (GeoLayoutLM) | 84.34 | Modeling Layout Reading Order as Ordering Relations for Visually-rich Document Understanding | |
| GeoLayoutLM | 83.62 | Unveiling the Deficiencies of Pre-trained Text-and-Layout Models in Real-world Visually-rich Document Information Extraction | |
| RORE (LayoutLMv3-large) | 84.53 | Modeling Layout Reading Order as Ordering Relations for Visually-rich Document Understanding | |
| RORE (LayoutLMv3-base) | 82.80 | Modeling Layout Reading Order as Ordering Relations for Visually-rich Document Understanding | |
| LayoutLMv3 (large) | 83.88 | Unveiling the Deficiencies of Pre-trained Text-and-Layout Models in Real-world Visually-rich Document Information Extraction | |
| LayoutLMv3 (base) | 82.30 | Unveiling the Deficiencies of Pre-trained Text-and-Layout Models in Real-world Visually-rich Document Information Extraction |
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