 Vsdnu | 100.00% | 100.00% | 100.00% |
| BiLSTM Based on CTPN | 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% |
| HeReceipt-Rotation | 100.00% | 100.00% | 100.00% |
| SCUT-DLVC-Lab-Refinement | 100.00% | 100.00% | 100.00% |
| Clova OCR | 100.00% | 100.00% | 100.00% |
| BOE_AIoT_CTO | 100.00% | 100.00% | 100.00% |
| Samsung Life Insurance | 100.00% | 100.00% | 100.00% |
| NetEase OCR | 100.00% | 100.00% | 100.00% |
| Sunshine_OCR | 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% |
| ViTLP | 100.00% | 100.00% | 100.00% |
| MCTPN2 | 100.00% | 97.37% | 98.67% |
| A modified CTPN model 2.0 | 100.00% | 97.37% | 98.67% |
| IFLYTEK-textDet_v3 | 100.00% | 97.22% | 98.59% |
| EM_ocr | 95.12% | 100.00% | 97.50% |
| BOE_IOT_AIBD | 95.12% | 100.00% | 97.50% |
| EfficientDet and EAST | 95.12% | 100.00% | 97.50% |
| GREAT-OCR Shanghai University | 97.56% | 97.44% | 97.50% |
| CITlab Argus Textline Detection | 97.56% | 97.44% | 97.50% |
| test_1.7 | 97.56% | 97.44% | 97.50% |
| EAST_clip_enhance_896_giou | 97.56% | 97.30% | 97.43% |
| A Single-Shot Model for Robust Text Localization | 97.56% | 97.30% | 97.43% |
| PhucPH | 100.00% | 94.74% | 97.30% |
| EAST modified | 95.12% | 97.37% | 96.23% |
| only PAN | 100.00% | 92.68% | 96.20% |
| 58CV | 92.68% | 100.00% | 96.20% |
| 58 OCR100 | 92.68% | 100.00% | 96.20% |
| MDetector | 92.68% | 100.00% | 96.20% |
| Textline detection | 97.56% | 93.55% | 95.51% |
| base4 | 95.12% | 94.87% | 95.00% |
| test | 95.12% | 94.87% | 95.00% |
| test_1.6 | 95.12% | 94.87% | 95.00% |
| Linklogis_BigData | 97.56% | 92.50% | 94.96% |
| Granville ocr | 92.68% | 97.30% | 94.93% |
| SROIE Fourth Submission | 90.24% | 100.00% | 94.87% |
| base1 | 97.56% | 92.31% | 94.86% |
| base2 | 97.56% | 92.31% | 94.86% |
| base3 | 97.56% | 92.31% | 94.86% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 96.59% | 92.82% | 94.67% |
| Unet and Morphology Prediction | 100.00% | 88.64% | 93.98% |
| Pixellink multi-scale Detection | 92.68% | 94.59% | 93.63% |
| Yolov3_Autohome | 90.24% | 94.87% | 92.50% |
| ICA-IVA | 92.68% | 92.11% | 92.39% |
| DR Team | 87.80% | 87.50% | 87.65% |
| A Text Localization Method Based on CTPN | 87.80% | 83.87% | 85.79% |
| Receipt Info Extracting Task1 zone-dividing | 90.24% | 81.48% | 85.64% |
| YOLO Text Detector | 78.05% | 80.00% | 79.01% |
| Unet Segmentation and Watershed | 78.05% | 72.50% | 75.17% |
| CTPN-SROIE | 72.68% | 72.90% | 72.79% |
| Improved yolov3 model | 65.85% | 77.14% | 71.05% |
| Original CRAFT for SROIE | 76.59% | 62.64% | 68.91% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 54.63% | 43.43% | 48.39% |
| scene text detection weapon | 17.07% | 30.00% | 21.76% |