 Ping An Property & Casualty Insurance Company | 100.00% | 100.00% | 100.00% |
| HeReceipt-Rotation | 100.00% | 100.00% | 100.00% |
| Sunshine_OCR | 99.75% | 99.51% | 99.63% |
| SCUT-DLVC-Lab-Refinement | 98.77% | 98.77% | 98.77% |
| Linklogis_BigData | 98.77% | 98.77% | 98.77% |
| Linklogis_BeeAI | 98.77% | 98.77% | 98.77% |
| NetEase OCR | 98.77% | 97.56% | 98.16% |
| GREAT-OCR Shanghai University | 96.05% | 99.49% | 97.74% |
| Samsung Life Insurance | 96.05% | 99.49% | 97.74% |
| Pixellink multi-scale Detection | 97.53% | 97.53% | 97.53% |
| SituTech_OCR | 97.53% | 97.53% | 97.53% |
| BOE_AIoT_CTO | 97.28% | 97.07% | 97.18% |
| test_1.7 | 97.28% | 97.07% | 97.18% |
| Gem AI - OCR Team | 97.28% | 97.07% | 97.18% |
| Clova OCR | 95.06% | 97.47% | 96.25% |
| 58CV | 95.06% | 97.44% | 96.23% |
| BiLSTM Based on CTPN | 92.59% | 100.00% | 96.15% |
| test_1.6 | 96.05% | 95.85% | 95.95% |
| A modified CTPN model 2.0 | 93.83% | 97.44% | 95.60% |
| BreSee OCR | 91.36% | 100.00% | 95.48% |
| 58 OCR100 | 97.28% | 93.57% | 95.39% |
| ViTLP | 95.06% | 95.06% | 95.06% |
| MDetector | 93.83% | 94.74% | 94.28% |
| base1 | 96.05% | 92.47% | 94.23% |
| base2 | 96.05% | 92.47% | 94.23% |
| base3 | 96.05% | 92.47% | 94.23% |
| EAST modified | 91.36% | 96.10% | 93.67% |
| MCTPN2 | 90.12% | 97.26% | 93.56% |
| base4 | 93.83% | 92.68% | 93.25% |
| test | 93.83% | 92.68% | 93.25% |
| only PAN | 89.88% | 96.84% | 93.23% |
| Granville ocr | 92.59% | 93.75% | 93.17% |
| CITlab Argus Textline Detection | 93.58% | 92.20% | 92.88% |
| IFLYTEK-textDet_v3 | 88.89% | 96.92% | 92.73% |
| A Single-Shot Model for Robust Text Localization | 86.42% | 100.00% | 92.72% |
| Unet Segmentation and Watershed | 93.83% | 90.79% | 92.28% |
| DR Team | 92.59% | 91.36% | 91.97% |
| EM_ocr | 90.86% | 91.71% | 91.28% |
| Vsdnu | 86.17% | 96.71% | 91.14% |
| H&H Lab | 88.89% | 91.14% | 90.00% |
| Unet and Morphology Prediction | 93.58% | 85.95% | 89.60% |
| BOE_IOT_AIBD | 93.83% | 82.95% | 88.06% |
| SROIE Fourth Submission | 81.48% | 95.65% | 88.00% |
| Yolov3_Autohome | 86.42% | 88.61% | 87.50% |
| PhucPH | 84.94% | 89.09% | 86.97% |
| A modified CTPN model 1.0 | 82.72% | 89.23% | 85.85% |
| EAST_clip_enhance_896_giou | 77.78% | 94.03% | 85.14% |
| ICA-IVA | 82.47% | 87.30% | 84.81% |
| Textline detection | 76.54% | 91.49% | 83.35% |
| EfficientDet and EAST | 75.06% | 90.59% | 82.10% |
| A Text Localization Method Based on CTPN | 74.07% | 85.42% | 79.34% |
| YOLO Text Detector | 78.02% | 79.00% | 78.51% |
| Improved yolov3 model | 75.56% | 79.51% | 77.48% |
| Original CRAFT for SROIE | 69.63% | 71.65% | 70.63% |
| CTPN-SROIE | 62.96% | 79.55% | 70.29% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 51.36% | 56.69% | 53.89% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 41.23% | 35.94% | 38.41% |
| scene text detection weapon | 21.98% | 40.65% | 28.53% |
| Receipt Info Extracting Task1 zone-dividing | 14.57% | 88.33% | 25.01% |