 SCUT-DLVC-Lab-Refinement | 100.00% | 100.00% | 100.00% |
| BOE_AIoT_CTO | 100.00% | 100.00% | 100.00% |
| Samsung Life Insurance | 100.00% | 100.00% | 100.00% |
| Linklogis_BigData | 100.00% | 100.00% | 100.00% |
| Unet and Morphology Prediction | 100.00% | 97.50% | 98.73% |
| SituTech_OCR | 97.44% | 97.44% | 97.44% |
| Clova OCR | 97.44% | 97.44% | 97.44% |
| 58 OCR100 | 97.44% | 97.44% | 97.44% |
| Sunshine_OCR | 97.44% | 97.44% | 97.44% |
| PhucPH | 97.44% | 97.44% | 97.44% |
| Linklogis_BeeAI | 97.44% | 97.44% | 97.44% |
| A modified CTPN model 1.0 | 97.44% | 97.44% | 97.44% |
| A modified CTPN model 2.0 | 97.44% | 97.44% | 97.44% |
| NetEase OCR | 96.92% | 96.50% | 96.71% |
| Ping An Property & Casualty Insurance Company | 97.44% | 95.00% | 96.20% |
| MCTPN2 | 97.44% | 95.00% | 96.20% |
| only PAN | 97.44% | 95.00% | 96.20% |
| 58CV | 97.44% | 95.00% | 96.20% |
| base1 | 97.44% | 95.00% | 96.20% |
| base2 | 97.44% | 95.00% | 96.20% |
| base3 | 97.44% | 95.00% | 96.20% |
| BreSee OCR | 92.31% | 100.00% | 96.00% |
| HeReceipt-Rotation | 94.87% | 94.87% | 94.87% |
| GREAT-OCR Shanghai University | 94.87% | 94.87% | 94.87% |
| CITlab Argus Textline Detection | 94.87% | 94.87% | 94.87% |
| Gem AI - OCR Team | 94.87% | 94.87% | 94.87% |
| IFLYTEK-textDet_v3 | 94.87% | 92.50% | 93.67% |
| EAST_clip_enhance_896_giou | 92.31% | 94.74% | 93.51% |
| A Single-Shot Model for Robust Text Localization | 92.31% | 94.74% | 93.51% |
| EAST modified | 92.31% | 94.74% | 93.51% |
| H&H Lab | 92.31% | 92.31% | 92.31% |
| BOE_IOT_AIBD | 92.31% | 92.31% | 92.31% |
| Granville ocr | 92.31% | 92.31% | 92.31% |
| ViTLP | 92.31% | 92.31% | 92.31% |
| Vsdnu | 89.74% | 94.59% | 92.11% |
| EfficientDet and EAST | 89.74% | 94.59% | 92.11% |
| SROIE Fourth Submission | 87.18% | 97.14% | 91.89% |
| MDetector | 92.31% | 90.00% | 91.14% |
| Textline detection | 89.74% | 92.11% | 90.91% |
| Pixellink multi-scale Detection | 89.74% | 89.74% | 89.74% |
| EM_ocr | 89.74% | 89.74% | 89.74% |
| BiLSTM Based on CTPN | 86.67% | 88.72% | 87.68% |
| DR Team | 87.18% | 85.00% | 86.08% |
| test_1.7 | 82.05% | 80.00% | 81.01% |
| Yolov3_Autohome | 79.49% | 79.49% | 79.49% |
| YOLO Text Detector | 77.95% | 80.00% | 78.96% |
| base4 | 79.49% | 77.50% | 78.48% |
| test | 79.49% | 77.50% | 78.48% |
| test_1.6 | 79.49% | 77.50% | 78.48% |
| A Text Localization Method Based on CTPN | 76.92% | 78.95% | 77.92% |
| ICA-IVA | 76.41% | 68.00% | 71.96% |
| CTPN-SROIE | 63.59% | 77.58% | 69.89% |
| Unet Segmentation and Watershed | 66.67% | 66.67% | 66.67% |
| Original CRAFT for SROIE | 65.64% | 66.67% | 66.15% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 64.10% | 65.79% | 64.94% |
| Receipt Info Extracting Task1 zone-dividing | 51.28% | 81.82% | 63.05% |
| Improved yolov3 model | 58.97% | 65.71% | 62.16% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 49.74% | 52.25% | 50.97% |
| scene text detection weapon | 25.64% | 50.00% | 33.90% |