Our new X account is live! Follow @wizwand_team for updates

Visual Information Extraction on EPHOIE (test)

99.21Mean Accuracy

LayoutLMv3-Chinese

Updated 3d ago

Evaluation Results

Method	Links
LayoutLMv3-Chinese 2022.04		99.21	98.99	100	99.77	100	100	98.82	99.78	98.31	97.27	-
StrucTexT 2022.04		97.95	99.25	100	99.47	97.98	95.43	98.29	97.33	99.25	93.73	-
VIES 2022.04		95.23	99.39	100	99.67	91.81	88.73	99.29	89.47	98.35	86.27	-
TRIE 2022.04		93.21	98.79	100	99.46	88.64	85.92	97.94	84.32	97.02	80.39	-
GCN-based 2022.04		92.55	98.18	100	99.52	88.17	86	97.39	80	94.44	81.82	-
GraphIE 2022.04		90.26	94	100	95.84	82.19	84.44	93.07	85.33	94.44	76.19	-
BILSTM+CRF 2022.04		89.1	98.51	100	98.87	75.86	72.73	94.04	84.44	98.18	69.57	-
Qwen2-VL-7B 2025.04		80.91	-	-	-	-	-	-	-	-	-	89.82
Qwen2-VL-7B 2025.04		77.89	-	-	-	-	-	-	-	-	-	87.79
Qwen2-VL-7B+ 2025.04		77.89	-	-	-	-	-	-	-	-	-	87.79
Qwen2-VL-7B 2025.04		76.91	-	-	-	-	-	-	-	-	-	86.52
Qwen2-VL-7B 2025.04		76.91	-	-	-	-	-	-	-	-	-	86.52
Monkey 2025.04		22.44	-	-	-	-	-	-	-	-	-	30.96
LLaVA-NeXT-Mistral-7B+ 2025.04		5.39	-	-	-	-	-	-	-	-	-	12.07
DocOwl-1.5-Chat 2025.04		4.85	-	-	-	-	-	-	-	-	-	8.25
LLaVA-NeXT-Mistral-7B 2025.04		4.31	-	-	-	-	-	-	-	-	-	8.02