 Textline detection | 100.00% | 100.00% | 100.00% |
| BiLSTM Based on CTPN | 100.00% | 100.00% | 100.00% |
| Unet and Morphology Prediction | 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% |
| 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% |
| 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% |
| 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% |
| EM_ocr | 98.44% | 100.00% | 99.21% |
| BOE_IOT_AIBD | 98.44% | 100.00% | 99.21% |
| A Text Localization Method Based on CTPN | 96.88% | 97.44% | 97.15% |
| 58CV | 100.00% | 94.03% | 96.92% |
| ViTLP | 96.88% | 96.88% | 96.88% |
| HeReceipt-Rotation | 96.88% | 96.83% | 96.85% |
| Clova OCR | 96.88% | 96.83% | 96.85% |
| Granville ocr | 96.88% | 96.83% | 96.85% |
| SROIE Fourth Submission | 95.31% | 96.83% | 96.06% |
| CITlab Argus Textline Detection | 95.31% | 95.24% | 95.28% |
| A modified CTPN model 2.0 | 95.31% | 95.24% | 95.28% |
| EAST modified | 92.19% | 98.21% | 95.11% |
| EfficientDet and EAST | 92.19% | 96.67% | 94.37% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 92.19% | 96.36% | 94.23% |
| CTPN-SROIE | 90.63% | 97.37% | 93.88% |
| EAST_clip_enhance_896_giou | 90.63% | 96.36% | 93.41% |
| PhucPH | 93.44% | 93.02% | 93.23% |
| ICA-IVA | 90.63% | 88.33% | 89.46% |
| Improved yolov3 model | 87.50% | 90.32% | 88.89% |
| test_1.7 | 89.06% | 88.14% | 88.60% |
| test_1.6 | 84.38% | 83.05% | 83.71% |
| Yolov3_Autohome | 81.25% | 82.54% | 81.89% |
| base4 | 81.25% | 79.66% | 80.45% |
| test | 81.25% | 79.66% | 80.45% |
| YOLO Text Detector | 80.00% | 80.00% | 80.00% |
| base1 | 79.69% | 78.33% | 79.00% |
| base2 | 79.69% | 78.33% | 79.00% |
| base3 | 79.69% | 78.33% | 79.00% |
| Vsdnu | 71.88% | 76.36% | 74.05% |
| Original CRAFT for SROIE | 72.19% | 73.05% | 72.62% |
| scene text detection weapon | 60.00% | 71.38% | 65.20% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 47.81% | 33.57% | 39.44% |
| Unet Segmentation and Watershed | 34.38% | 32.20% | 33.25% |
| Receipt Info Extracting Task1 zone-dividing | 0.00% | 0.00% | 0.00% |