 MCTPN2 | 100.00% | 100.00% | 100.00% |
| Linklogis_BigData | 100.00% | 100.00% | 100.00% |
| A modified CTPN model 1.0 | 100.00% | 100.00% | 100.00% |
| 58 OCR100 | 99.75% | 99.46% | 99.60% |
| Samsung Life Insurance | 98.75% | 100.00% | 99.37% |
| BreSee OCR | 98.75% | 98.75% | 98.75% |
| H&H Lab | 98.75% | 98.73% | 98.74% |
| GREAT-OCR Shanghai University | 98.75% | 98.73% | 98.74% |
| NetEase OCR | 97.50% | 100.00% | 98.73% |
| EM_ocr | 98.75% | 98.72% | 98.73% |
| Linklogis_BeeAI | 98.75% | 98.72% | 98.73% |
| BOE_IOT_AIBD | 98.75% | 98.51% | 98.63% |
| MDetector | 97.50% | 98.63% | 98.06% |
| IFLYTEK-textDet_v3 | 97.50% | 98.48% | 97.99% |
| BOE_AIoT_CTO | 97.25% | 98.25% | 97.75% |
| PhucPH | 97.50% | 97.50% | 97.50% |
| Gem AI - OCR Team | 97.50% | 97.50% | 97.50% |
| SCUT-DLVC-Lab-Refinement | 97.50% | 97.47% | 97.48% |
| Sunshine_OCR | 96.25% | 98.68% | 97.45% |
| Ping An Property & Casualty Insurance Company | 95.00% | 100.00% | 97.44% |
| only PAN | 95.00% | 100.00% | 97.44% |
| SROIE Fourth Submission | 95.00% | 98.70% | 96.82% |
| EfficientDet and EAST | 95.00% | 98.61% | 96.77% |
| A modified CTPN model 2.0 | 94.75% | 98.16% | 96.42% |
| DR Team | 96.25% | 96.25% | 96.25% |
| HeReceipt-Rotation | 95.00% | 97.44% | 96.20% |
| SituTech_OCR | 96.25% | 96.05% | 96.15% |
| Clova OCR | 93.75% | 98.67% | 96.15% |
| EAST_clip_enhance_896_giou | 92.50% | 100.00% | 96.10% |
| Unet and Morphology Prediction | 93.50% | 96.57% | 95.01% |
| ViTLP | 95.00% | 95.00% | 95.00% |
| Granville ocr | 95.00% | 94.81% | 94.90% |
| A Single-Shot Model for Robust Text Localization | 91.25% | 98.65% | 94.81% |
| 58CV | 93.75% | 94.81% | 94.27% |
| EAST modified | 91.25% | 97.26% | 94.16% |
| CITlab Argus Textline Detection | 92.25% | 95.58% | 93.89% |
| Pixellink multi-scale Detection | 93.75% | 93.75% | 93.75% |
| test_1.7 | 93.75% | 93.67% | 93.71% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 91.25% | 95.65% | 93.40% |
| BiLSTM Based on CTPN | 88.75% | 93.94% | 91.27% |
| Textline detection | 91.25% | 90.74% | 90.99% |
| test_1.6 | 88.75% | 88.61% | 88.68% |
| Vsdnu | 86.25% | 87.18% | 86.71% |
| ICA-IVA | 85.75% | 87.44% | 86.58% |
| base1 | 86.25% | 85.71% | 85.98% |
| base2 | 86.25% | 85.71% | 85.98% |
| base3 | 86.25% | 85.71% | 85.98% |
| Yolov3_Autohome | 82.50% | 86.67% | 84.53% |
| base4 | 81.25% | 81.01% | 81.13% |
| test | 81.25% | 81.01% | 81.13% |
| A Text Localization Method Based on CTPN | 81.25% | 80.36% | 80.80% |
| Unet Segmentation and Watershed | 80.00% | 81.58% | 80.78% |
| YOLO Text Detector | 72.00% | 78.92% | 75.30% |
| CTPN-SROIE | 65.00% | 78.00% | 70.91% |
| Original CRAFT for SROIE | 71.50% | 67.61% | 69.50% |
| Improved yolov3 model | 66.25% | 68.83% | 67.52% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 54.00% | 38.74% | 45.12% |
| Receipt Info Extracting Task1 zone-dividing | 51.00% | 34.33% | 41.04% |
| scene text detection weapon | 25.50% | 45.64% | 32.72% |