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Single-stage table structure recognition approach via efficient sequence modeling

delete2025-08-05
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PRE
AI
E
Eunji Lee
Y
Yeonsik Jo
S
Soon Young Lee
S
Seung Hwan Kim
N
Nam Ik Cho *
DOI:10.1016/j.patrec.2025.07.022delete
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Abstract

Abstract

En 中文
• We propose Cell-Code for token-efficient and visually aligned table representation. • We propose S 2Tab, a single-stage approach to Table Structure Recognition. • Extensive experiments show our method is effective, especially in hard table cases.
Keywords:
Cell-Code
S2Tab
Table Structure Recognition
token-efficient
visually aligned

Journal

Pattern Recognition Letters cover
Pattern Recognition Letters
IF:
3.3
Papers:
7.8K
Citations:
1.6W

Organization

S
Seoul National University
Scholars:
4.9K
Papers: 2.0K
Citations: 6.6W
L
lg ai research
Scholars:
3
Papers: 1
Citations: 0