Text Detection on FUNSD (test)
95.29PrecisionDOPTA
Evaluation Results
| Method | Links | |||
|---|---|---|---|---|
| DOPTAbackbone=DOPTA, framework=Mask R-CNN, number of parameters=85M2024.12 | 95.29 | 94.18 | 94.73 | |
| DiT-Bbackbone=DiT-B, framework=Mask R-CNN, number of parameters=87M2024.12 | 94.7 | 93.07 | 93.88 | |
| DiT-Lbackbone=DiT-L, framework=Mask R-CNN, number of parameters=304M2024.12 | 94.52 | 93.36 | 93.93 | |
| MAE-Bbackbone=MAE-B, framework=Mask R-CNN, number of parameters=87M2024.12 | 94.41 | 93.21 | 93.81 | |
| DeiT-Bbackbone=DeiT-B, framework=Mask R-CNN, number of parameters=87M2024.12 | 94.29 | 92.37 | 93.32 | |
| BEIT-Bbackbone=BEIT-B, framework=Mask R-CNN, number of parameters=87M2024.12 | 94.12 | 92.63 | 93.37 | |
| ResNeXt-101dbackbone=ResNeXt-101d, framework=Mask R-CNN2024.12 | 93.87 | 92.29 | 93.07 | |
| Faster R-CNNframework=Faster R-CNN2024.12 | 70.4 | 84.8 | 76 |