Table Detection on TableBank LaTeX 1K (test)
99RecallYOLO
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| YOLOTraining Dataset=TableBank-LaTeX, Training Images=199K, IoU Threshold=0.62020.08 | 99 | 98 | 98.5 | — | |
| M-RCNNTraining Dataset=TableBank-LaTeX, Training Images=199K, IoU Threshold=0.62020.08 | 98 | 96 | 94 | — | |
| CDeC-NetTraining Dataset=TableBank-LaTeX, Training Images=253K, IoU Threshold=0.52020.08 | 97.9 | 99.5 | 98.7 | 0.976 | |
| CDeC-NetTraining Dataset=TableBank-LaTeX, Training Images=199K, IoU Threshold=0.62020.08 | 97.8 | 99.5 | 98.6 | 0.974 | |
| Li et al.Training Dataset=TableBank-LaTeX, Training Images=253K, IoU Threshold=0.52020.08 | 97.5 | 98.7 | 98.1 | — | |
| SSDTraining Dataset=TableBank-LaTeX, Training Images=199K, IoU Threshold=0.62020.08 | 97 | 96 | 96.5 | — | |
| CDeC-Net+Training Dataset=IIIT-AR-13K, Training Images=9K, Fine-tuning Dataset=TableBank-LaTeX, Fine-tuning Images=199K, IoU Threshold=0.62020.08 | 97 | 99 | 98 | 0.965 | |
| RetinaNetTraining Dataset=TableBank-LaTeX, Training Images=199K, IoU Threshold=0.62020.08 | 86 | 98 | 92 | — | |
| CDeC-NetTraining Dataset=IIIT-AR-13K, Training Images=9K, IoU Threshold=0.62020.08 | 77.9 | 96.1 | 87 | 0.759 |