 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% |
| BOE_IOT_AIBD | 100.00% | 100.00% | 100.00% |
| Samsung Life Insurance | 100.00% | 100.00% | 100.00% |
| NetEase 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% |
| Sunshine_OCR | 99.70% | 99.38% | 99.54% |
| BreSee OCR | 98.48% | 100.00% | 99.24% |
| A modified CTPN model 1.0 | 98.48% | 100.00% | 99.24% |
| 58CV | 100.00% | 98.46% | 99.22% |
| GREAT-OCR Shanghai University | 98.18% | 99.38% | 98.77% |
| Clova OCR | 98.48% | 98.46% | 98.47% |
| BOE_AIoT_CTO | 98.48% | 98.46% | 98.47% |
| 58 OCR100 | 100.00% | 96.97% | 98.46% |
| Linklogis_BeeAI | 98.48% | 98.44% | 98.46% |
| Pixellink multi-scale Detection | 97.88% | 98.48% | 98.18% |
| DR Team | 98.18% | 97.88% | 98.03% |
| A Single-Shot Model for Robust Text Localization | 96.97% | 98.44% | 97.70% |
| EM_ocr | 96.97% | 98.41% | 97.69% |
| only PAN | 96.97% | 98.41% | 97.69% |
| A modified CTPN model 2.0 | 96.97% | 96.92% | 96.95% |
| Granville ocr | 96.97% | 96.88% | 96.92% |
| MDetector | 98.48% | 95.38% | 96.91% |
| MCTPN2 | 93.94% | 98.36% | 96.10% |
| EfficientDet and EAST | 93.94% | 98.33% | 96.09% |
| EAST_clip_enhance_896_giou | 90.91% | 100.00% | 95.24% |
| SROIE Fourth Submission | 95.15% | 94.77% | 94.96% |
| Unet and Morphology Prediction | 96.97% | 92.54% | 94.70% |
| CITlab Argus Textline Detection | 94.85% | 92.65% | 93.73% |
| BiLSTM Based on CTPN | 89.39% | 98.15% | 93.57% |
| IFLYTEK-textDet_v3 | 92.42% | 94.74% | 93.57% |
| A Text Localization Method Based on CTPN | 90.91% | 95.74% | 93.26% |
| SituTech_OCR | 93.64% | 91.69% | 92.65% |
| Textline detection | 89.39% | 95.65% | 92.42% |
| Vsdnu | 87.88% | 95.00% | 91.30% |
| EAST modified | 87.88% | 94.92% | 91.26% |
| Yolov3_Autohome | 90.91% | 90.63% | 90.77% |
| HeReceipt-Rotation | 90.91% | 90.63% | 90.77% |
| Improved yolov3 model | 87.88% | 91.94% | 89.86% |
| test_1.7 | 89.09% | 86.18% | 87.61% |
| test_1.6 | 87.58% | 84.71% | 86.12% |
| CTPN-SROIE | 80.30% | 90.70% | 85.18% |
| ViTLP | 84.55% | 85.76% | 85.15% |
| ICA-IVA | 84.85% | 84.62% | 84.73% |
| base1 | 87.58% | 82.03% | 84.71% |
| base2 | 87.58% | 82.03% | 84.71% |
| base3 | 87.58% | 82.03% | 84.71% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 86.06% | 77.35% | 81.47% |
| PhucPH | 80.30% | 75.36% | 77.75% |
| YOLO Text Detector | 76.36% | 78.79% | 77.56% |
| base4 | 76.97% | 74.41% | 75.67% |
| test | 76.97% | 74.41% | 75.67% |
| scene text detection weapon | 64.55% | 73.85% | 68.88% |
| Unet Segmentation and Watershed | 62.12% | 57.58% | 59.76% |
| Original CRAFT for SROIE | 57.88% | 54.25% | 56.00% |
| Receipt Info Extracting Task1 zone-dividing | 37.88% | 40.54% | 39.16% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 40.00% | 29.51% | 33.96% |