 SCUT-DLVC-Lab-Refinement | 100.00% | 100.00% | 100.00% |
| Sunshine_OCR | 100.00% | 100.00% | 100.00% |
| Linklogis_BeeAI | 100.00% | 100.00% | 100.00% |
| ViTLP | 100.00% | 100.00% | 100.00% |
| Linklogis_BigData | 99.68% | 99.37% | 99.52% |
| Samsung Life Insurance | 98.39% | 100.00% | 99.19% |
| BreSee OCR | 96.77% | 100.00% | 98.36% |
| Pixellink multi-scale Detection | 96.77% | 96.77% | 96.77% |
| HeReceipt-Rotation | 96.77% | 96.77% | 96.77% |
| NetEase OCR | 96.77% | 96.77% | 96.77% |
| Yolov3_Autohome | 96.45% | 96.19% | 96.32% |
| SROIE Fourth Submission | 94.84% | 97.70% | 96.25% |
| Ping An Property & Casualty Insurance Company | 95.16% | 96.72% | 95.93% |
| Clova OCR | 93.55% | 96.67% | 95.08% |
| MCTPN2 | 90.32% | 100.00% | 94.92% |
| 58 OCR100 | 93.55% | 95.08% | 94.31% |
| Gem AI - OCR Team | 93.55% | 95.08% | 94.31% |
| A Single-Shot Model for Robust Text Localization | 91.94% | 96.61% | 94.21% |
| GREAT-OCR Shanghai University | 92.90% | 95.48% | 94.18% |
| CITlab Argus Textline Detection | 90.32% | 98.25% | 94.12% |
| A modified CTPN model 1.0 | 90.32% | 96.55% | 93.33% |
| only PAN | 88.71% | 98.21% | 93.22% |
| test_1.7 | 93.23% | 92.81% | 93.02% |
| SituTech_OCR | 91.94% | 91.80% | 91.87% |
| A modified CTPN model 2.0 | 90.32% | 93.33% | 91.80% |
| BOE_AIoT_CTO | 91.29% | 92.26% | 91.77% |
| MDetector | 88.71% | 94.55% | 91.53% |
| BiLSTM Based on CTPN | 85.48% | 97.96% | 91.30% |
| base1 | 88.71% | 93.22% | 90.91% |
| base2 | 88.71% | 93.22% | 90.91% |
| base3 | 88.71% | 93.22% | 90.91% |
| 58CV | 91.61% | 89.84% | 90.72% |
| IFLYTEK-textDet_v3 | 85.48% | 96.00% | 90.44% |
| EAST_clip_enhance_896_giou | 83.87% | 98.11% | 90.43% |
| EAST modified | 85.16% | 95.71% | 90.13% |
| EfficientDet and EAST | 83.55% | 97.41% | 89.95% |
| H&H Lab | 90.00% | 89.84% | 89.92% |
| test_1.6 | 90.00% | 89.69% | 89.84% |
| BOE_IOT_AIBD | 90.32% | 88.14% | 89.22% |
| Unet and Morphology Prediction | 93.23% | 85.08% | 88.97% |
| DR Team | 88.71% | 88.71% | 88.71% |
| Granville ocr | 88.71% | 88.71% | 88.71% |
| EM_ocr | 86.77% | 90.53% | 88.61% |
| base4 | 88.39% | 88.13% | 88.26% |
| test | 88.39% | 88.13% | 88.26% |
| ICA-IVA | 85.16% | 90.36% | 87.68% |
| PhucPH | 83.87% | 91.23% | 87.39% |
| Improved yolov3 model | 84.19% | 85.23% | 84.71% |
| Vsdnu | 73.87% | 84.73% | 78.93% |
| Unet Segmentation and Watershed | 78.71% | 78.73% | 78.72% |
| YOLO Text Detector | 78.06% | 78.17% | 78.12% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 74.19% | 82.35% | 78.06% |
| CTPN-SROIE | 69.35% | 82.93% | 75.54% |
| Textline detection | 67.42% | 81.33% | 73.73% |
| A Text Localization Method Based on CTPN | 65.81% | 79.11% | 71.85% |
| Original CRAFT for SROIE | 70.97% | 70.55% | 70.76% |
| scene text detection weapon | 59.03% | 83.41% | 69.14% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 55.16% | 37.78% | 44.84% |
| Receipt Info Extracting Task1 zone-dividing | 35.48% | 34.88% | 35.18% |