 Ping An Property & Casualty Insurance Company | 100.00% | 100.00% | 100.00% |
| HeReceipt-Rotation | 100.00% | 100.00% | 100.00% |
| SCUT-DLVC-Lab-Refinement | 100.00% | 100.00% | 100.00% |
| GREAT-OCR Shanghai University | 100.00% | 100.00% | 100.00% |
| SROIE Fourth Submission | 100.00% | 100.00% | 100.00% |
| EM_ocr | 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% |
| Linklogis_BigData | 100.00% | 100.00% | 100.00% |
| Granville ocr | 100.00% | 100.00% | 100.00% |
| BreSee OCR | 100.00% | 100.00% | 100.00% |
| SituTech_OCR | 97.78% | 100.00% | 98.88% |
| H&H Lab | 97.78% | 100.00% | 98.88% |
| MDetector | 97.78% | 100.00% | 98.88% |
| ViTLP | 97.78% | 97.78% | 97.78% |
| Clova OCR | 97.78% | 97.73% | 97.75% |
| Vsdnu | 95.56% | 100.00% | 97.73% |
| Gem AI - OCR Team | 97.78% | 97.67% | 97.73% |
| Linklogis_BeeAI | 97.78% | 97.67% | 97.73% |
| 58CV | 100.00% | 95.35% | 97.62% |
| IFLYTEK-textDet_v3 | 93.33% | 100.00% | 96.55% |
| Sunshine_OCR | 93.33% | 100.00% | 96.55% |
| ICA-IVA | 97.78% | 95.00% | 96.37% |
| EAST modified | 93.33% | 97.62% | 95.43% |
| EAST_clip_enhance_896_giou | 95.56% | 95.24% | 95.40% |
| A Single-Shot Model for Robust Text Localization | 95.56% | 95.24% | 95.40% |
| A modified CTPN model 1.0 | 93.33% | 97.44% | 95.34% |
| A modified CTPN model 2.0 | 94.67% | 95.91% | 95.28% |
| MCTPN2 | 93.33% | 95.12% | 94.22% |
| EfficientDet and EAST | 88.89% | 100.00% | 94.12% |
| CITlab Argus Textline Detection | 92.44% | 93.78% | 93.11% |
| CTPN-SROIE | 86.67% | 100.00% | 92.86% |
| BiLSTM Based on CTPN | 86.67% | 100.00% | 92.86% |
| BOE_IOT_AIBD | 88.89% | 92.50% | 90.66% |
| A Text Localization Method Based on CTPN | 84.44% | 94.12% | 89.02% |
| Textline detection | 82.22% | 96.97% | 88.99% |
| Unet and Morphology Prediction | 95.11% | 81.03% | 87.51% |
| PhucPH | 88.89% | 86.05% | 87.44% |
| base1 | 84.44% | 83.72% | 84.08% |
| base2 | 84.44% | 83.72% | 84.08% |
| base3 | 84.44% | 83.72% | 84.08% |
| Yolov3_Autohome | 84.00% | 83.56% | 83.78% |
| test_1.7 | 81.78% | 79.11% | 80.42% |
| Original CRAFT for SROIE | 80.89% | 78.13% | 79.49% |
| Pixellink multi-scale Detection | 77.78% | 77.78% | 77.78% |
| YOLO Text Detector | 74.67% | 78.18% | 76.38% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 73.33% | 73.81% | 73.57% |
| Improved yolov3 model | 68.00% | 74.29% | 71.00% |
| test_1.6 | 70.67% | 68.00% | 69.31% |
| scene text detection weapon | 54.22% | 63.49% | 58.49% |
| base4 | 60.00% | 55.56% | 57.69% |
| test | 60.00% | 55.56% | 57.69% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 56.44% | 52.55% | 54.43% |
| Receipt Info Extracting Task1 zone-dividing | 57.78% | 42.86% | 49.21% |
| Unet Segmentation and Watershed | 35.11% | 33.19% | 34.12% |