 Vsdnu | 100.00% | 100.00% | 100.00% |
| Textline detection | 100.00% | 100.00% | 100.00% |
| EAST_clip_enhance_896_giou | 100.00% | 100.00% | 100.00% |
| A Text Localization Method Based on CTPN | 100.00% | 100.00% | 100.00% |
| ICA-IVA | 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% |
| 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_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% |
| EAST modified | 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% |
| 58CV | 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% |
| PhucPH | 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% |
| ViTLP | 100.00% | 100.00% | 100.00% |
| HeReceipt-Rotation | 99.41% | 98.86% | 99.13% |
| SCUT-DLVC-Lab-Refinement | 99.41% | 98.86% | 99.13% |
| MCTPN2 | 99.41% | 98.86% | 99.13% |
| A Single-Shot Model for Robust Text Localization | 99.41% | 98.86% | 99.13% |
| Ping An Property & Casualty Insurance Company | 99.41% | 97.84% | 98.62% |
| CTPN-SROIE | 97.06% | 100.00% | 98.51% |
| CITlab Argus Textline Detection | 98.82% | 97.78% | 98.30% |
| BOE_AIoT_CTO | 98.82% | 97.78% | 98.30% |
| A modified CTPN model 1.0 | 98.82% | 97.78% | 98.30% |
| A modified CTPN model 2.0 | 98.82% | 97.78% | 98.30% |
| H&H Lab | 98.82% | 97.30% | 98.05% |
| Linklogis_BigData | 98.82% | 97.30% | 98.05% |
| Yolov3_Autohome | 97.06% | 97.06% | 97.06% |
| test_1.6 | 95.29% | 93.33% | 94.30% |
| test_1.7 | 95.29% | 93.33% | 94.30% |
| BiLSTM Based on CTPN | 94.12% | 94.12% | 94.12% |
| Receipt Info Extracting Task1 zone-dividing | 94.12% | 93.33% | 93.72% |
| Unet and Morphology Prediction | 93.53% | 91.22% | 92.36% |
| Improved yolov3 model | 87.65% | 90.00% | 88.81% |
| base4 | 89.41% | 88.21% | 88.80% |
| test | 89.41% | 88.21% | 88.80% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 88.24% | 88.24% | 88.24% |
| base1 | 85.29% | 85.29% | 85.29% |
| base2 | 85.29% | 85.29% | 85.29% |
| base3 | 85.29% | 85.29% | 85.29% |
| YOLO Text Detector | 80.00% | 80.00% | 80.00% |
| scene text detection weapon | 75.88% | 72.40% | 74.10% |
| Original CRAFT for SROIE | 78.82% | 69.88% | 74.08% |
| Unet Segmentation and Watershed | 69.41% | 57.27% | 62.76% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 57.06% | 44.48% | 49.99% |