Table Detection on ICDAR 60 images 2013 (test)
100RecallYOLO
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| YOLOTraining Dataset=TableBank-LaTeX, Training #Image=199K, Fine-tuning Dataset=ICDAR-2013, Fine-tuning #Image=178, IoU=0.62020.08 | 100 | 78 | 87 | — | |
| M-RCNNTraining Dataset=TableBank-LaTeX, Training #Image=199K, Fine-tuning Dataset=ICDAR-2013, Fine-tuning #Image=178, IoU=0.62020.08 | 97 | 70 | 81 | — | |
| CDEC-NetTraining Dataset=TableBank-LaTeX, Training #Image=199K, Fine-tuning Dataset=ICDAR-2013, Fine-tuning #Image=178, IoU=0.62020.08 | 93.7 | 100 | 96.7 | 0.933 | |
| CDEC-NetTraining Dataset=Pascal VOC, Training #Image=16K, Fine-tuning Dataset=ICDAR-2013, Fine-tuning #Image=178, IoU=0.62020.08 | 84.4 | 100 | 92.2 | 0.844 | |
| M-RCNNTraining Dataset=Pascal VOC, Training #Image=16K, Fine-tuning Dataset=ICDAR-2013, Fine-tuning #Image=178, IoU=0.62020.08 | 77 | 14 | 23 | — | |
| RetinaNetTraining Dataset=TableBank-LaTeX, Training #Image=199K, Fine-tuning Dataset=ICDAR-2013, Fine-tuning #Image=178, IoU=0.62020.08 | 77 | 83 | 80 | — | |
| SSDTraining Dataset=Pascal VOC, Training #Image=16K, Fine-tuning Dataset=ICDAR-2013, Fine-tuning #Image=178, IoU=0.62020.08 | 68 | 54 | 60 | — | |
| SSDTraining Dataset=TableBank-LaTeX, Training #Image=199K, Fine-tuning Dataset=ICDAR-2013, Fine-tuning #Image=178, IoU=0.62020.08 | 68 | 62 | 65 | — | |
| YOLOTraining Dataset=Pascal VOC, Training #Image=16K, Fine-tuning Dataset=ICDAR-2013, Fine-tuning #Image=178, IoU=0.62020.08 | 65 | 92 | 75 | — | |
| RetinaNetTraining Dataset=Pascal VOC, Training #Image=16K, Fine-tuning Dataset=ICDAR-2013, Fine-tuning #Image=178, IoU=0.62020.08 | 58 | 56 | 57 | — |