Table Structure Recognition on ICDAR 2013
96.7PrecisionLGPMA
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| LGPMATraining Dataset=ICDAR 2013+2021.05 | 96.7 | 99.1 | 97.9 | |
| DeepDeSRTTraining Dataset=Not Specified2021.05 | 95.9 | 87.4 | 91.4 | |
| GTETraining Dataset=ICDAR 2013+2021.05 | 94.4 | 92.7 | 93.5 | |
| Siddiqui et al.Training Dataset=Synthetic 500k2021.05 | 93.4 | 93.4 | 93.4 | |
| DeepTabStRTraining Dataset=ICDAR 20132021.05 | 93.1 | 93 | 93 | |
| LGPMATraining Dataset=SciTSR2021.05 | 93 | 97.7 | 95.3 | |
| TabStruct-NetTraining Dataset=SciTSR2021.05 | 91.5 | 89.7 | 90.6 | |
| GraphTSRTraining Dataset=SciTSR2021.05 | 88.5 | 86 | 87.2 | |
| SplitTraining Dataset=Private2021.05 | 86.9 | 86.6 | 86.8 | |
| ReS2TIMTraining Dataset=ICDAR 2013+2021.05 | 73.4 | 74.7 | 74 |