 Textline detection | 100.00% | 100.00% | 100.00% |
| BiLSTM Based on CTPN | 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% |
| Ping An Property & Casualty Insurance Company | 100.00% | 100.00% | 100.00% |
| H&H Lab | 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% |
| A Single-Shot Model for Robust Text Localization | 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% |
| 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% |
| 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% |
| DR Team | 100.00% | 100.00% | 100.00% |
| MDetector | 100.00% | 100.00% | 100.00% |
| Sunshine_OCR | 100.00% | 100.00% | 100.00% |
| Linklogis_BigData | 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 1.0 | 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% |
| EAST_clip_enhance_896_giou | 97.67% | 100.00% | 98.82% |
| EM_ocr | 97.67% | 100.00% | 98.82% |
| Unet and Morphology Prediction | 100.00% | 97.56% | 98.77% |
| 58CV | 99.53% | 96.82% | 98.16% |
| PhucPH | 97.67% | 97.62% | 97.65% |
| EAST modified | 95.35% | 100.00% | 97.62% |
| SituTech_OCR | 97.67% | 97.56% | 97.62% |
| CTPN-SROIE | 95.35% | 97.06% | 96.20% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 94.88% | 96.50% | 95.69% |
| A Text Localization Method Based on CTPN | 95.35% | 93.94% | 94.64% |
| ICA-IVA | 95.35% | 92.86% | 94.09% |
| test_1.7 | 93.02% | 92.68% | 92.85% |
| Yolov3_Autohome | 90.23% | 94.29% | 92.21% |
| Improved yolov3 model | 88.37% | 88.37% | 88.37% |
| test_1.6 | 86.05% | 85.37% | 85.70% |
| Vsdnu | 83.72% | 87.50% | 85.57% |
| base1 | 83.72% | 83.33% | 83.53% |
| base2 | 83.72% | 83.33% | 83.53% |
| base3 | 83.72% | 83.33% | 83.53% |
| scene text detection weapon | 80.93% | 82.11% | 81.51% |
| base4 | 81.40% | 80.49% | 80.94% |
| test | 81.40% | 80.49% | 80.94% |
| YOLO Text Detector | 78.14% | 80.00% | 79.06% |
| Original CRAFT for SROIE | 73.02% | 70.47% | 71.72% |
| Receipt Info Extracting Task1 zone-dividing | 71.63% | 54.21% | 61.71% |
| Unet Segmentation and Watershed | 46.51% | 46.34% | 46.43% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 53.95% | 39.11% | 45.35% |