Table Detection on Marmot English
97RecallYOLO
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| YOLOTraining Dataset=TableBank-LaTeX (199K), Fine-tuning Dataset=Marmot (English) (744), IoU=0.62020.08 | 97 | 95 | 96 | — | |
| CDeC-Net+Training Dataset=IIIT-AR-13K (9K images), Fine-tuning Dataset=Marmot (English) (744 images), IoU=0.62020.08 | 95.2 | 100 | 97.6 | 95.2 | |
| CDeC-NetTraining Dataset=Pascal VOC (16K), Fine-tuning Dataset=Marmot (English) (744), IoU=0.62020.08 | 94.6 | 99.3 | 96.9 | 94.2 | |
| RetinaNetTraining Dataset=Pascal VOC (16K), Fine-tuning Dataset=Marmot (English) (744), IoU=0.62020.08 | 93 | 72 | 81 | — | |
| CDeC-NetTraining Dataset=TableBank-LaTeX (199K), Fine-tuning Dataset=Marmot (English) (744), IoU=0.62020.08 | 92.5 | 99.3 | 95.9 | 92.4 | |
| CDeC-Net+Training Dataset=IIIT-AR-13K (9K images), IoU=0.62020.08 | 91.2 | 96.4 | 93.8 | 90.6 | |
| M-RCNNTraining Dataset=TableBank-LaTeX (199K), Fine-tuning Dataset=Marmot (English) (744), IoU=0.62020.08 | 89 | 72 | 81 | — | |
| SSDTraining Dataset=Pascal VOC (16K), Fine-tuning Dataset=Marmot (English) (744), IoU=0.62020.08 | 86 | 93 | 90 | — | |
| RetinaNetTraining Dataset=TableBank-LaTeX (199K), Fine-tuning Dataset=Marmot (English) (744), IoU=0.62020.08 | 86 | 93 | 90 | — | |
| M-RCNNTraining Dataset=Pascal VOC (16K), Fine-tuning Dataset=Marmot (English) (744), IoU=0.62020.08 | 76 | 67 | 71 | — | |
| YOLOTraining Dataset=Pascal VOC (16K), Fine-tuning Dataset=Marmot (English) (744), IoU=0.62020.08 | 75 | 71 | 73 | — | |
| SSDTraining Dataset=TableBank-LaTeX (199K), Fine-tuning Dataset=Marmot (English) (744), IoU=0.62020.08 | 75 | 71 | 73 | — |