 CTPN-SROIE | 100.00% | 100.00% | 100.00% |
| BiLSTM Based on CTPN | 100.00% | 100.00% | 100.00% |
| BOE_IOT_AIBD | 100.00% | 100.00% | 100.00% |
| EAST modified | 100.00% | 100.00% | 100.00% |
| NetEase OCR | 100.00% | 100.00% | 100.00% |
| ViTLP | 100.00% | 100.00% | 100.00% |
| BreSee OCR | 99.47% | 98.97% | 99.22% |
| IFLYTEK-textDet_v3 | 99.47% | 98.92% | 99.20% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 99.47% | 98.89% | 99.18% |
| Granville ocr | 100.00% | 97.44% | 98.70% |
| Linklogis_BeeAI | 100.00% | 97.44% | 98.70% |
| EAST_clip_enhance_896_giou | 100.00% | 97.37% | 98.67% |
| Pixellink multi-scale Detection | 100.00% | 97.37% | 98.67% |
| SituTech_OCR | 100.00% | 97.37% | 98.67% |
| Ping An Property & Casualty Insurance Company | 100.00% | 97.37% | 98.67% |
| HeReceipt-Rotation | 100.00% | 97.37% | 98.67% |
| SCUT-DLVC-Lab-Refinement | 100.00% | 97.37% | 98.67% |
| A Single-Shot Model for Robust Text Localization | 100.00% | 97.37% | 98.67% |
| CITlab Argus Textline Detection | 100.00% | 97.37% | 98.67% |
| EM_ocr | 100.00% | 97.37% | 98.67% |
| Clova OCR | 100.00% | 97.37% | 98.67% |
| EfficientDet and EAST | 100.00% | 97.37% | 98.67% |
| only PAN | 100.00% | 97.37% | 98.67% |
| 58CV | 100.00% | 97.37% | 98.67% |
| 58 OCR100 | 100.00% | 97.37% | 98.67% |
| DR Team | 100.00% | 97.37% | 98.67% |
| Sunshine_OCR | 100.00% | 97.37% | 98.67% |
| Linklogis_BigData | 100.00% | 97.37% | 98.67% |
| base1 | 100.00% | 97.37% | 98.67% |
| base2 | 100.00% | 97.37% | 98.67% |
| base3 | 100.00% | 97.37% | 98.67% |
| PhucPH | 100.00% | 97.37% | 98.67% |
| Gem AI - OCR Team | 100.00% | 97.37% | 98.67% |
| A modified CTPN model 2.0 | 100.00% | 97.37% | 98.67% |
| Textline detection | 100.00% | 97.14% | 98.55% |
| Samsung Life Insurance | 98.95% | 97.56% | 98.25% |
| H&H Lab | 99.47% | 96.41% | 97.92% |
| Unet and Morphology Prediction | 100.00% | 94.87% | 97.37% |
| BOE_AIoT_CTO | 98.95% | 95.50% | 97.19% |
| A modified CTPN model 1.0 | 98.95% | 95.50% | 97.19% |
| base4 | 98.42% | 94.63% | 96.49% |
| test | 98.42% | 94.63% | 96.49% |
| test_1.6 | 98.42% | 94.63% | 96.49% |
| test_1.7 | 98.42% | 94.63% | 96.49% |
| A Text Localization Method Based on CTPN | 97.37% | 94.29% | 95.80% |
| SROIE Fourth Submission | 97.37% | 92.50% | 94.87% |
| Vsdnu | 94.74% | 94.59% | 94.67% |
| GREAT-OCR Shanghai University | 96.84% | 92.27% | 94.50% |
| Yolov3_Autohome | 94.74% | 92.11% | 93.40% |
| Unet Segmentation and Watershed | 94.21% | 91.28% | 92.72% |
| MDetector | 93.68% | 88.10% | 90.80% |
| MCTPN2 | 91.05% | 87.41% | 89.19% |
| ICA-IVA | 88.42% | 83.72% | 86.01% |
| YOLO Text Detector | 77.89% | 77.89% | 77.89% |
| Improved yolov3 model | 72.63% | 76.84% | 74.68% |
| Receipt Info Extracting Task1 zone-dividing | 78.95% | 68.29% | 73.23% |
| scene text detection weapon | 66.32% | 54.12% | 59.60% |
| Original CRAFT for SROIE | 48.95% | 36.72% | 41.96% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 25.26% | 10.47% | 14.80% |