Table Detection on UNLV (test)
95RecallYOLO
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| YOLOTraining Dataset=Pascel voc, Training #Image=16K, Fine-tuning Dataset=UNLV, Fine-tuning #Image=302, IoU=0.62020.08 | 95 | 91 | 93 | — | |
| YOLOTraining Dataset=TableBank-LaTeX, Training #Image=199K, Fine-tuning Dataset=UNLV, Fine-tuning #Image=302, IoU=0.62020.08 | 95 | 93 | 94 | — | |
| CDeC-NetMulti-scale testing=true2020.08 | 92.5 | 95.2 | 93.8 | 0.912 | |
| GOD2020.08 | 91 | 94.6 | 92.8 | — | |
| CDeC-NetTraining Dataset=TableBank-LaTeX, Training #Image=199K, Fine-tuning Dataset=UNLV, Fine-tuning #Image=302, IoU=0.62020.08 | 89.4 | 99.1 | 94.3 | 88.9 | |
| RetinaNetTraining Dataset=Pascel voc, Training #Image=16K, Fine-tuning Dataset=UNLV, Fine-tuning #Image=302, IoU=0.62020.08 | 83 | 81 | 82 | — | |
| M-RCNNTraining Dataset=TableBank-LaTeX, Training #Image=199K, Fine-tuning Dataset=UNLV, Fine-tuning #Image=302, IoU=0.62020.08 | 83 | 66 | 74 | — | |
| RetinaNetTraining Dataset=TableBank-LaTeX, Training #Image=199K, Fine-tuning Dataset=UNLV, Fine-tuning #Image=302, IoU=0.62020.08 | 83 | 81 | 82 | — | |
| CDeC-NetTraining Dataset=Pascel voc, Training #Image=16K, Fine-tuning Dataset=UNLV, Fine-tuning #Image=302, IoU=0.62020.08 | 80.5 | 96.1 | 88.3 | 78.8 | |
| SSDTraining Dataset=TableBank-LaTeX, Training #Image=199K, Fine-tuning Dataset=UNLV, Fine-tuning #Image=302, IoU=0.62020.08 | 66 | 72 | 69 | — | |
| SSDTraining Dataset=Pascel voc, Training #Image=16K, Fine-tuning Dataset=UNLV, Fine-tuning #Image=302, IoU=0.62020.08 | 64 | 66 | 65 | — | |
| M-RCNNTraining Dataset=Pascel voc, Training #Image=16K, Fine-tuning Dataset=UNLV, Fine-tuning #Image=302, IoU=0.62020.08 | 58 | 29 | 39 | — |