 Vsdnu | 100.00% | 100.00% | 100.00% |
| Pixellink multi-scale Detection | 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% |
| HeReceipt-Rotation | 100.00% | 100.00% | 100.00% |
| EAST modified | 100.00% | 100.00% | 100.00% |
| BOE_AIoT_CTO | 100.00% | 100.00% | 100.00% |
| Samsung Life Insurance | 100.00% | 100.00% | 100.00% |
| Sunshine_OCR | 100.00% | 100.00% | 100.00% |
| Linklogis_BigData | 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% |
| IFLYTEK-textDet_v3 | 98.25% | 100.00% | 99.12% |
| SROIE Fourth Submission | 100.00% | 96.55% | 98.25% |
| SCUT-DLVC-Lab-Refinement | 98.25% | 98.21% | 98.23% |
| EM_ocr | 98.25% | 98.21% | 98.23% |
| Clova OCR | 98.25% | 98.21% | 98.23% |
| Gem AI - OCR Team | 98.25% | 98.21% | 98.23% |
| only PAN | 98.25% | 98.15% | 98.20% |
| MDetector | 98.25% | 98.15% | 98.20% |
| GREAT-OCR Shanghai University | 97.89% | 97.50% | 97.70% |
| 58CV | 97.89% | 97.50% | 97.70% |
| A modified CTPN model 2.0 | 97.89% | 97.50% | 97.70% |
| A modified CTPN model 1.0 | 97.89% | 95.71% | 96.79% |
| BiLSTM Based on CTPN | 94.74% | 97.87% | 96.28% |
| MCTPN2 | 94.39% | 97.45% | 95.90% |
| Granville ocr | 94.74% | 96.43% | 95.58% |
| EAST_clip_enhance_896_giou | 94.74% | 96.30% | 95.51% |
| H&H Lab | 94.39% | 95.79% | 95.08% |
| 58 OCR100 | 94.74% | 94.64% | 94.69% |
| PhucPH | 94.74% | 94.64% | 94.69% |
| BOE_IOT_AIBD | 98.25% | 91.38% | 94.69% |
| CITlab Argus Textline Detection | 94.74% | 93.10% | 93.91% |
| Unet Segmentation and Watershed | 96.49% | 91.38% | 93.87% |
| DR Team | 92.98% | 94.64% | 93.81% |
| A Single-Shot Model for Robust Text Localization | 94.04% | 93.33% | 93.68% |
| EfficientDet and EAST | 87.72% | 98.00% | 92.58% |
| Yolov3_Autohome | 91.23% | 92.86% | 92.04% |
| test_1.7 | 100.00% | 83.82% | 91.20% |
| ICA-IVA | 94.04% | 88.47% | 91.17% |
| base1 | 91.23% | 89.47% | 90.34% |
| base2 | 91.23% | 89.47% | 90.34% |
| base3 | 91.23% | 89.47% | 90.34% |
| NetEase OCR | 82.11% | 97.14% | 88.99% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 88.42% | 88.67% | 88.54% |
| test_1.6 | 96.49% | 80.88% | 88.00% |
| Textline detection | 80.35% | 83.56% | 81.92% |
| base4 | 89.47% | 75.00% | 81.60% |
| test | 89.47% | 75.00% | 81.60% |
| A Text Localization Method Based on CTPN | 78.95% | 81.82% | 80.36% |
| YOLO Text Detector | 77.19% | 80.00% | 78.57% |
| Original CRAFT for SROIE | 79.30% | 76.08% | 77.66% |
| Unet and Morphology Prediction | 87.37% | 68.81% | 76.99% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 73.68% | 71.24% | 72.44% |
| Improved yolov3 model | 68.07% | 76.15% | 71.89% |
| CTPN-SROIE | 70.18% | 73.17% | 71.64% |
| Receipt Info Extracting Task1 zone-dividing | 35.09% | 80.00% | 48.78% |
| scene text detection weapon | 34.74% | 52.14% | 41.70% |