Table Detection on Marmot (Mixed Full)
94.6RecallDECNT
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| DECNTTraining Dataset=D3 (3079 images), IoU=0.52020.08 | 94.6 | 84.9 | 89.5 | — | |
| CDeC-NetTraining Dataset=D3 (3079 images), IoU=0.52020.08 | 93 | 97.5 | 95.2 | 0.911 | |
| CDeC-Net+Training Dataset=IIIT-AR-13K (9K images), Fine-tuning Dataset=D3 (3079 images), IoU=0.52020.08 | 91.6 | 99.1 | 95.3 | 0.909 | |
| CDeC-NetTraining Dataset=Various Doc (130 images), IoU=0.82020.08 | 83.6 | 84.5 | 84 | 0.716 | |
| CDeC-Net+Training Dataset=IIIT-AR-13K (9K images), Fine-tuning Dataset=Various Doc (130 images), IoU=0.82020.08 | 83.3 | 83.7 | 83.5 | 0.71 | |
| CDeC-Net+Training Dataset=IIIT-AR-13K (9K images), IoU=0.52020.08 | 77.9 | 94.3 | 86.1 | 0.756 | |
| CDeC-Net+Training Dataset=IIIT-AR-13K (9K images), Fine-tuning Dataset=Various Doc (130 images), IoU=0.92020.08 | 77.2 | 77.5 | 77.3 | 0.603 | |
| CDeC-NetTraining Dataset=Various Doc (130 images), IoU=0.92020.08 | 76.5 | 77.4 | 76.9 | 0.6 | |
| MFCN+contour+CRFTraining Dataset=Various Doc (130 images), IoU=0.82020.08 | 73.1 | 76.2 | 74.7 | — | |
| CDeC-Net+Training Dataset=IIIT-AR-13K (9K images), IoU=0.82020.08 | 57.8 | 68.2 | 63.2 | 0.427 | |
| MFCN+contour+CRFTraining Dataset=Various Doc (130 images), IoU=0.92020.08 | 47.1 | 48.1 | 47.6 | — | |
| CDeC-Net+Training Dataset=IIIT-AR-13K (9K images), IoU=0.92020.08 | 27.1 | 32.2 | 29.6 | 0.108 |