 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% |
| NetEase OCR | 100.00% | 100.00% | 100.00% |
| DR Team | 100.00% | 100.00% | 100.00% |
| Sunshine_OCR | 100.00% | 100.00% | 100.00% |
| Granville ocr | 100.00% | 100.00% | 100.00% |
| BreSee OCR | 100.00% | 100.00% | 100.00% |
| Linklogis_BeeAI | 100.00% | 100.00% | 100.00% |
| Linklogis_BigData | 99.62% | 99.26% | 99.44% |
| A modified CTPN model 2.0 | 99.62% | 98.91% | 99.26% |
| Samsung Life Insurance | 98.11% | 100.00% | 99.05% |
| 58CV | 99.62% | 98.25% | 98.93% |
| 58 OCR100 | 99.25% | 98.55% | 98.89% |
| BOE_IOT_AIBD | 98.11% | 98.11% | 98.11% |
| BOE_AIoT_CTO | 98.11% | 98.11% | 98.11% |
| only PAN | 97.74% | 97.41% | 97.57% |
| Gem AI - OCR Team | 97.74% | 97.09% | 97.41% |
| A modified CTPN model 1.0 | 97.74% | 97.09% | 97.41% |
| GREAT-OCR Shanghai University | 97.74% | 96.79% | 97.26% |
| MDetector | 98.11% | 96.30% | 97.20% |
| IFLYTEK-textDet_v3 | 96.23% | 97.96% | 97.09% |
| EM_ocr | 96.23% | 96.23% | 96.23% |
| EfficientDet and EAST | 94.34% | 98.04% | 96.15% |
| EAST_clip_enhance_896_giou | 94.34% | 96.15% | 95.24% |
| MCTPN2 | 94.34% | 96.15% | 95.24% |
| SituTech_OCR | 94.34% | 94.34% | 94.34% |
| A Single-Shot Model for Robust Text Localization | 94.34% | 92.59% | 93.46% |
| A Text Localization Method Based on CTPN | 92.08% | 94.29% | 93.17% |
| HeReceipt-Rotation | 92.08% | 91.85% | 91.96% |
| Unet and Morphology Prediction | 92.08% | 91.50% | 91.79% |
| Textline detection | 88.68% | 92.68% | 90.64% |
| BiLSTM Based on CTPN | 88.68% | 91.84% | 90.23% |
| SROIE Fourth Submission | 90.19% | 88.36% | 89.27% |
| Yolov3_Autohome | 88.68% | 88.68% | 88.68% |
| CITlab Argus Textline Detection | 88.68% | 88.68% | 88.68% |
| Clova OCR | 88.68% | 88.68% | 88.68% |
| ICA-IVA | 90.57% | 85.71% | 88.07% |
| CTPN-SROIE | 81.13% | 90.24% | 85.45% |
| EAST modified | 83.02% | 86.27% | 84.62% |
| Improved yolov3 model | 83.02% | 84.62% | 83.81% |
| ViTLP | 81.13% | 81.13% | 81.13% |
| Vsdnu | 78.87% | 81.92% | 80.37% |
| test_1.7 | 80.75% | 79.27% | 80.01% |
| YOLO Text Detector | 80.00% | 80.00% | 80.00% |
| Pixellink multi-scale Detection | 79.25% | 79.25% | 79.25% |
| PhucPH | 76.98% | 77.04% | 77.01% |
| Original CRAFT for SROIE | 74.72% | 75.23% | 74.97% |
| base1 | 66.04% | 67.31% | 66.67% |
| base2 | 66.04% | 67.31% | 66.67% |
| base3 | 66.04% | 67.31% | 66.67% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 56.23% | 63.56% | 59.67% |
| test_1.6 | 58.11% | 57.45% | 57.78% |
| Unet Segmentation and Watershed | 60.38% | 49.21% | 54.22% |
| base4 | 50.57% | 50.18% | 50.37% |
| test | 50.57% | 50.18% | 50.37% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 54.72% | 43.47% | 48.45% |
| scene text detection weapon | 26.42% | 47.83% | 34.03% |
| Receipt Info Extracting Task1 zone-dividing | 0.00% | 0.00% | 0.00% |