Table Structure Recognition & Data Extraction on ICDAR 2013 (test)
98.5RecallTabStruct-Net
Evaluation results
| Method | Links | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| TabStruct-NetTrain Dataset=SciTSR, Setup=S-B (image + ground truth boxes)2020.10 | 98.5 | 97.6 | 98.1 | — | — | — | — | — | — | — | — | — | |
| TableNetsemantic features=true, fine-tuned=ICDAR2020.01 | 90.01 | 93.07 | 91.51 | — | — | — | — | — | — | — | — | — | |
| TableNetsemantic features=true2020.01 | 89.94 | 92.55 | 91.22 | — | — | — | — | — | — | — | — | — | |
| TableNet2020.01 | 89.87 | 92.15 | 90.98 | — | — | — | — | — | — | — | — | — | |
| TabStruct-NetTrain Dataset=SciTSR, Setup=S-A (image only)2020.10 | 89.7 | 91.5 | 90.6 | — | — | — | — | — | — | — | — | — | |
| DeepDeSRT2020.01 | 87.36 | 95.93 | 91.44 | — | — | — | — | — | — | — | — | — | |
| DeepDeSRT2021.04 | — | — | — | — | — | — | — | — | — | 95.93 | 87.36 | 91.444 | |
| DeepTabStR2021.04 | — | — | — | 0.8845 | 0.8945 | 0.8861 | 0.9688 | 0.963 | 0.9655 | 93.19 | 93.08 | 92.98 | |
| Proposed System (Mask R-CNN with optimized anchors)Post-processing=With2021.04 | — | — | — | 0.9468 | 0.9452 | 0.946 | 0.9605 | 0.9659 | 0.9632 | 95.37 | 95.56 | 95.46 | |
| Proposed System (Mask R-CNN with optimized anchors)Post-processing=Without2021.04 | — | — | — | 0.9106 | 0.9326 | 0.9206 | 0.9605 | 0.9659 | 0.9632 | 93.55 | 94.41 | 94.19 | |
| Siddiqui et al.2021.04 | — | — | — | 0.9233 | 0.9203 | 0.919 | 0.9281 | 0.9341 | 0.9288 | 92.57 | 92.72 | 92.39 | |
| TableNet2021.04 | — | — | — | — | — | — | — | — | — | 93.07 | 90.01 | 91.51 |