HyperAI
HyperAI초신경
홈
플랫폼
문서
뉴스
연구 논문
튜토리얼
데이터셋
백과사전
SOTA
LLM 모델
GPU 랭킹
컨퍼런스
전체 검색
소개
서비스 약관
개인정보 처리방침
한국어
HyperAI
HyperAI초신경
Toggle Sidebar
전체 사이트 검색...
⌘
K
Command Palette
Search for a command to run...
플랫폼
홈
SOTA
의미 실체 라벨링
Semantic Entity Labeling On Funsd
Semantic Entity Labeling On Funsd
평가 지표
F1
평가 결과
이 벤치마크에서 각 모델의 성능 결과
Columns
모델 이름
F1
Paper Title
LayoutMask (large)
93.20
LayoutMask: Enhance Text-Layout Interaction in Multi-modal Pre-training for Document Understanding
ERNIE-Layoutlarge
93.12
ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding
LayoutMask (base)
92.91
LayoutMask: Enhance Text-Layout Interaction in Multi-modal Pre-training for Document Understanding
GeoLayoutLM
92.86
GeoLayoutLM: Geometric Pre-training for Visual Information Extraction
LayoutLMv3 Large
92.08
LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking
RORE (GeoLayoutLM)
91.84
Modeling Layout Reading Order as Ordering Relations for Visually-rich Document Understanding
StrucTexTv2 (large)
91.82
StrucTexTv2: Masked Visual-Textual Prediction for Document Image Pre-training
XDoc1M
89.4
XDoc: Unified Pre-training for Cross-Format Document Understanding
StrucTexTv2 (small)
89.23
StrucTexTv2: Masked Visual-Textual Prediction for Document Image Pre-training
LILT
88.41
LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding
TPP (LayoutMask)
85.16
Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction
LayoutLMv2LARGE
84.2
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding
DocTr
84
DocTr: Document Transformer for Structured Information Extraction in Documents
LayoutLMv2BASE
82.76
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding
Doc2Graph
82.25
Doc2Graph: a Task Agnostic Document Understanding Framework based on Graph Neural Networks
0 of 15 row(s) selected.
Previous
Next
Semantic Entity Labeling On Funsd | SOTA | HyperAI초신경