 Ping An Property & Casualty Insurance Company | 100.00% | 100.00% | 100.00% |
| BOE_AIoT_CTO | 100.00% | 100.00% | 100.00% |
| Samsung Life Insurance | 100.00% | 100.00% | 100.00% |
| NetEase OCR | 100.00% | 100.00% | 100.00% |
| MDetector | 100.00% | 100.00% | 100.00% |
| Granville ocr | 100.00% | 100.00% | 100.00% |
| Linklogis_BeeAI | 100.00% | 100.00% | 100.00% |
| DR Team | 99.71% | 99.41% | 99.56% |
| 58CV | 99.71% | 99.38% | 99.54% |
| H&H Lab | 98.53% | 100.00% | 99.26% |
| Linklogis_BigData | 98.53% | 100.00% | 99.26% |
| Gem AI - OCR Team | 98.53% | 98.53% | 98.53% |
| BreSee OCR | 98.53% | 98.51% | 98.52% |
| EfficientDet and EAST | 98.53% | 98.41% | 98.47% |
| IFLYTEK-textDet_v3 | 98.53% | 98.28% | 98.40% |
| A modified CTPN model 2.0 | 96.76% | 99.38% | 98.05% |
| A modified CTPN model 1.0 | 98.24% | 97.81% | 98.02% |
| 58 OCR100 | 99.12% | 96.47% | 97.78% |
| Sunshine_OCR | 97.06% | 98.44% | 97.74% |
| MCTPN2 | 97.06% | 98.33% | 97.69% |
| SCUT-DLVC-Lab-Refinement | 97.06% | 97.01% | 97.04% |
| BOE_IOT_AIBD | 97.06% | 96.67% | 96.86% |
| GREAT-OCR Shanghai University | 94.12% | 93.94% | 94.03% |
| A Text Localization Method Based on CTPN | 94.12% | 93.75% | 93.93% |
| Unet and Morphology Prediction | 90.88% | 94.43% | 92.62% |
| EM_ocr | 92.65% | 92.42% | 92.54% |
| only PAN | 91.18% | 91.94% | 91.55% |
| Pixellink multi-scale Detection | 91.18% | 91.18% | 91.18% |
| Textline detection | 86.76% | 89.80% | 88.25% |
| SituTech_OCR | 86.76% | 88.71% | 87.73% |
| BiLSTM Based on CTPN | 86.76% | 87.93% | 87.34% |
| CTPN-SROIE | 83.82% | 86.67% | 85.22% |
| A Single-Shot Model for Robust Text Localization | 80.88% | 84.62% | 82.71% |
| ViTLP | 80.88% | 80.88% | 80.88% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 80.59% | 80.00% | 80.29% |
| Clova OCR | 79.41% | 80.95% | 80.17% |
| SROIE Fourth Submission | 77.94% | 80.30% | 79.10% |
| EAST modified | 77.94% | 79.37% | 78.65% |
| YOLO Text Detector | 75.88% | 79.55% | 77.67% |
| HeReceipt-Rotation | 76.47% | 76.12% | 76.29% |
| EAST_clip_enhance_896_giou | 70.59% | 76.27% | 73.32% |
| Yolov3_Autohome | 72.06% | 73.85% | 72.94% |
| PhucPH | 72.06% | 71.01% | 71.53% |
| CITlab Argus Textline Detection | 66.18% | 66.15% | 66.17% |
| ICA-IVA | 64.41% | 57.78% | 60.91% |
| test_1.7 | 60.29% | 58.46% | 59.36% |
| Vsdnu | 54.41% | 57.14% | 55.74% |
| base1 | 50.00% | 49.21% | 49.60% |
| base2 | 50.00% | 49.21% | 49.60% |
| base3 | 50.00% | 49.21% | 49.60% |
| test_1.6 | 50.00% | 47.69% | 48.82% |
| base4 | 48.53% | 46.15% | 47.31% |
| test | 48.53% | 46.15% | 47.31% |
| Original CRAFT for SROIE | 53.53% | 40.99% | 46.43% |
| Unet Segmentation and Watershed | 44.12% | 44.62% | 44.37% |
| Improved yolov3 model | 41.18% | 43.75% | 42.42% |
| scene text detection weapon | 21.47% | 50.63% | 30.15% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 15.29% | 12.05% | 13.48% |
| Receipt Info Extracting Task1 zone-dividing | 7.35% | 12.00% | 9.12% |