 Textline detection | 100.00% | 100.00% | 100.00% |
| EAST_clip_enhance_896_giou | 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% |
| 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% |
| 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% |
| EM_ocr | 100.00% | 100.00% | 100.00% |
| Clova 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% |
| 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% |
| A modified CTPN model 2.0 | 100.00% | 100.00% | 100.00% |
| ViTLP | 100.00% | 100.00% | 100.00% |
| HeReceipt-Rotation | 99.53% | 99.07% | 99.30% |
| CTPN-SROIE | 97.67% | 100.00% | 98.82% |
| A Text Localization Method Based on CTPN | 97.67% | 100.00% | 98.82% |
| 58CV | 100.00% | 97.67% | 98.82% |
| DR Team | 97.67% | 97.67% | 97.67% |
| Pixellink multi-scale Detection | 97.67% | 97.62% | 97.65% |
| EfficientDet and EAST | 97.67% | 97.62% | 97.65% |
| Granville ocr | 97.67% | 97.62% | 97.65% |
| EAST modified | 95.35% | 100.00% | 97.62% |
| MCTPN2 | 97.67% | 97.56% | 97.62% |
| BOE_IOT_AIBD | 97.67% | 97.56% | 97.62% |
| test_1.6 | 95.35% | 95.12% | 95.24% |
| test_1.7 | 95.35% | 95.12% | 95.24% |
| Improved yolov3 model | 92.56% | 92.27% | 92.42% |
| PhucPH | 93.95% | 90.87% | 92.39% |
| Yolov3_Autohome | 90.23% | 94.29% | 92.21% |
| base1 | 90.70% | 90.48% | 90.59% |
| base2 | 90.70% | 90.48% | 90.59% |
| base3 | 90.70% | 90.48% | 90.59% |
| base4 | 90.70% | 90.24% | 90.47% |
| test | 90.70% | 90.24% | 90.47% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 89.30% | 87.91% | 88.60% |
| ICA-IVA | 90.70% | 86.05% | 88.31% |
| Vsdnu | 83.72% | 87.50% | 85.57% |
| scene text detection weapon | 79.53% | 81.00% | 80.26% |
| YOLO Text Detector | 80.00% | 80.00% | 80.00% |
| Original CRAFT for SROIE | 76.74% | 75.86% | 76.30% |
| Unet Segmentation and Watershed | 69.77% | 68.29% | 69.02% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 66.51% | 55.96% | 60.78% |
| Receipt Info Extracting Task1 zone-dividing | 60.00% | 51.76% | 55.58% |