 Pixellink multi-scale Detection | 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% |
| MCTPN2 | 100.00% | 100.00% | 100.00% |
| GREAT-OCR Shanghai University | 100.00% | 100.00% | 100.00% |
| A Single-Shot Model for Robust Text Localization | 100.00% | 100.00% | 100.00% |
| EM_ocr | 100.00% | 100.00% | 100.00% |
| Samsung Life Insurance | 100.00% | 100.00% | 100.00% |
| DR Team | 100.00% | 100.00% | 100.00% |
| Linklogis_BigData | 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 1.0 | 100.00% | 100.00% | 100.00% |
| A modified CTPN model 2.0 | 100.00% | 100.00% | 100.00% |
| only PAN | 99.57% | 99.15% | 99.36% |
| BOE_AIoT_CTO | 100.00% | 97.87% | 98.92% |
| Textline detection | 97.83% | 100.00% | 98.90% |
| EAST_clip_enhance_896_giou | 97.83% | 100.00% | 98.90% |
| BiLSTM Based on CTPN | 97.83% | 100.00% | 98.90% |
| IFLYTEK-textDet_v3 | 97.83% | 100.00% | 98.90% |
| NetEase OCR | 97.83% | 100.00% | 98.90% |
| Gem AI - OCR Team | 100.00% | 95.83% | 97.87% |
| ICA-IVA | 97.83% | 97.83% | 97.83% |
| SituTech_OCR | 97.83% | 97.83% | 97.83% |
| HeReceipt-Rotation | 97.83% | 97.83% | 97.83% |
| SCUT-DLVC-Lab-Refinement | 97.83% | 97.83% | 97.83% |
| Clova OCR | 97.83% | 97.83% | 97.83% |
| 58CV | 97.83% | 97.83% | 97.83% |
| 58 OCR100 | 97.83% | 97.83% | 97.83% |
| Sunshine_OCR | 97.83% | 97.83% | 97.83% |
| PhucPH | 97.83% | 97.83% | 97.83% |
| ViTLP | 97.83% | 97.83% | 97.83% |
| BOE_IOT_AIBD | 97.83% | 97.78% | 97.80% |
| MDetector | 99.13% | 96.33% | 97.71% |
| Unet and Morphology Prediction | 97.39% | 97.02% | 97.21% |
| CITlab Argus Textline Detection | 97.83% | 95.74% | 96.77% |
| SROIE Fourth Submission | 97.83% | 95.74% | 96.77% |
| EAST modified | 97.83% | 95.74% | 96.77% |
| A Text Localization Method Based on CTPN | 95.65% | 97.37% | 96.50% |
| Yolov3_Autohome | 95.65% | 95.65% | 95.65% |
| EfficientDet and EAST | 95.65% | 95.65% | 95.65% |
| CTPN-SROIE | 93.48% | 94.59% | 94.03% |
| Vsdnu | 93.48% | 93.48% | 93.48% |
| Improved yolov3 model | 89.13% | 91.11% | 90.11% |
| test_1.7 | 91.30% | 84.00% | 87.50% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 77.39% | 97.84% | 86.42% |
| Original CRAFT for SROIE | 86.52% | 83.30% | 84.88% |
| base1 | 82.61% | 82.61% | 82.61% |
| base2 | 82.61% | 82.61% | 82.61% |
| base3 | 82.61% | 82.61% | 82.61% |
| test_1.6 | 84.78% | 78.00% | 81.25% |
| base4 | 82.61% | 76.00% | 79.17% |
| test | 82.61% | 76.00% | 79.17% |
| YOLO Text Detector | 78.26% | 80.00% | 79.12% |
| scene text detection weapon | 59.57% | 74.50% | 66.20% |
| Unet Segmentation and Watershed | 63.04% | 63.04% | 63.04% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 70.87% | 55.95% | 62.53% |
| Receipt Info Extracting Task1 zone-dividing | 0.00% | 0.00% | 0.00% |