Table Detection on IIIT-AR-13K (val)
98.6PrecisionRobusTabNet (CornerNet+FRCN)
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| RobusTabNet (CornerNet+FRCN)Backbone=ResNet-182022.03 | 98.6 | 98.3 | 98.5 | 98.2 | |
| Mask R-CNNBackbone=ResNet-1012022.03 | 98.2 | 96.6 | 97.4 | 97.6 | |
| Faster R-CNNBackbone=ResNet-1012022.03 | 95.7 | 92.6 | 94.2 | 95.5 |