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Table Structure Recognition on ICDAR (test)

98.1Simple TEDSHierarchical Modeling Approach (Proposal)
97.486497.645797.80597.9643Dec 24, 2025Jan 22, 2026Feb 20, 2026Mar 21, 2026Apr 19, 2026May 18, 2026Jun 16, 2026

Evaluation results

MethodLinks
Hierarchical Modeling Approach (Proposal)2025.1298.195.0896.62
MuTabNet M2weak supervision=false, local attention=true, external OCR engine=false2026.0698.195.0896.62
MuTabNet2025.1298.0194.9896.53
MuTabNetweak supervision=false, local attention=true, external OCR engine=false2026.0697.9494.8596.42
VCGroup2025.1297.994.6896.32
VCGroupweak supervision=false, local attention=false, external OCR engine=true2026.0697.994.6896.32
Davar-Lab-OCR2025.1297.8894.7896.36
Davar-Lab-OCRweak supervision=false, local attention=false, external OCR engine=true2026.0697.8894.7896.36
Ly and Takasu [17]2025.1297.7794.5896.21
MTL-TabNetweak supervision=false, local attention=true, external OCR engine=false2026.0697.7794.5896.21
XM2025.1297.694.8996.27
Ly and Takasu [16]2025.1297.694.6896.17
XMweak supervision=false, local attention=false, external OCR engine=true2026.0697.694.8996.27
MTL-TabNetweak supervision=false, local attention=false, external OCR engine=false2026.0697.694.6896.17
Ly et al.2025.1297.5194.3795.97
MTL-TabNetweak supervision=true, local attention=false, external OCR engine=false2026.0697.5194.3795.97