 Vsdnu | 100.00% | 100.00% | 100.00% |
| Textline detection | 100.00% | 100.00% | 100.00% |
| EAST_clip_enhance_896_giou | 100.00% | 100.00% | 100.00% |
| BiLSTM Based on CTPN | 100.00% | 100.00% | 100.00% |
| ICA-IVA | 100.00% | 100.00% | 100.00% |
| IFLYTEK-textDet_v3 | 100.00% | 100.00% | 100.00% |
| Pixellink multi-scale Detection | 100.00% | 100.00% | 100.00% |
| SituTech_OCR | 100.00% | 100.00% | 100.00% |
| Ping An Property & Casualty Insurance Company | 100.00% | 100.00% | 100.00% |
| H&H Lab | 100.00% | 100.00% | 100.00% |
| Yolov3_Autohome | 100.00% | 100.00% | 100.00% |
| HeReceipt-Rotation | 100.00% | 100.00% | 100.00% |
| SCUT-DLVC-Lab-Refinement | 100.00% | 100.00% | 100.00% |
| MCTPN2 | 100.00% | 100.00% | 100.00% |
| GREAT-OCR Shanghai University | 100.00% | 100.00% | 100.00% |
| CITlab Argus Textline Detection | 100.00% | 100.00% | 100.00% |
| SROIE Fourth Submission | 100.00% | 100.00% | 100.00% |
| EM_ocr | 100.00% | 100.00% | 100.00% |
| BOE_IOT_AIBD | 100.00% | 100.00% | 100.00% |
| Clova OCR | 100.00% | 100.00% | 100.00% |
| EfficientDet and EAST | 100.00% | 100.00% | 100.00% |
| EAST modified | 100.00% | 100.00% | 100.00% |
| BOE_AIoT_CTO | 100.00% | 100.00% | 100.00% |
| only PAN | 100.00% | 100.00% | 100.00% |
| Samsung Life Insurance | 100.00% | 100.00% | 100.00% |
| NetEase OCR | 100.00% | 100.00% | 100.00% |
| 58 OCR100 | 100.00% | 100.00% | 100.00% |
| Sunshine_OCR | 100.00% | 100.00% | 100.00% |
| PhucPH | 100.00% | 100.00% | 100.00% |
| Gem AI - OCR Team | 100.00% | 100.00% | 100.00% |
| Granville ocr | 100.00% | 100.00% | 100.00% |
| BreSee OCR | 100.00% | 100.00% | 100.00% |
| Linklogis_BeeAI | 100.00% | 100.00% | 100.00% |
| A modified CTPN model 2.0 | 100.00% | 100.00% | 100.00% |
| ViTLP | 100.00% | 100.00% | 100.00% |
| Unet and Morphology Prediction | 100.00% | 97.44% | 98.70% |
| Unet Segmentation and Watershed | 100.00% | 97.44% | 98.70% |
| Linklogis_BigData | 100.00% | 97.44% | 98.70% |
| base1 | 100.00% | 97.44% | 98.70% |
| base2 | 100.00% | 97.44% | 98.70% |
| base3 | 100.00% | 97.44% | 98.70% |
| A modified CTPN model 1.0 | 100.00% | 97.44% | 98.70% |
| CTPN-SROIE | 100.00% | 97.37% | 98.67% |
| A Single-Shot Model for Robust Text Localization | 100.00% | 95.00% | 97.44% |
| 58CV | 100.00% | 95.00% | 97.44% |
| DR Team | 97.44% | 97.37% | 97.40% |
| A Text Localization Method Based on CTPN | 100.00% | 94.87% | 97.37% |
| MDetector | 100.00% | 92.68% | 96.20% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 98.46% | 91.25% | 94.72% |
| test_1.7 | 97.44% | 90.24% | 93.70% |
| Improved yolov3 model | 92.31% | 94.59% | 93.44% |
| Receipt Info Extracting Task1 zone-dividing | 92.31% | 94.12% | 93.20% |
| test_1.6 | 89.74% | 85.37% | 87.50% |
| Original CRAFT for SROIE | 86.15% | 81.60% | 83.82% |
| base4 | 84.62% | 80.49% | 82.50% |
| test | 84.62% | 80.49% | 82.50% |
| scene text detection weapon | 87.18% | 77.22% | 81.90% |
| YOLO Text Detector | 73.85% | 77.84% | 75.79% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 64.10% | 51.28% | 56.98% |