 Pixellink multi-scale Detection | 100.00% | 100.00% | 100.00% |
| Ping An Property & Casualty Insurance Company | 100.00% | 100.00% | 100.00% |
| H&H Lab | 100.00% | 100.00% | 100.00% |
| HeReceipt-Rotation | 100.00% | 100.00% | 100.00% |
| SCUT-DLVC-Lab-Refinement | 100.00% | 100.00% | 100.00% |
| GREAT-OCR Shanghai University | 100.00% | 100.00% | 100.00% |
| Clova OCR | 100.00% | 100.00% | 100.00% |
| BOE_AIoT_CTO | 100.00% | 100.00% | 100.00% |
| Samsung Life Insurance | 100.00% | 100.00% | 100.00% |
| NetEase OCR | 100.00% | 100.00% | 100.00% |
| 58CV | 100.00% | 100.00% | 100.00% |
| DR Team | 100.00% | 100.00% | 100.00% |
| Sunshine_OCR | 100.00% | 100.00% | 100.00% |
| Linklogis_BigData | 100.00% | 100.00% | 100.00% |
| base1 | 100.00% | 100.00% | 100.00% |
| base2 | 100.00% | 100.00% | 100.00% |
| base3 | 100.00% | 100.00% | 100.00% |
| Gem AI - OCR Team | 100.00% | 100.00% | 100.00% |
| Granville ocr | 100.00% | 100.00% | 100.00% |
| BreSee OCR | 100.00% | 100.00% | 100.00% |
| A modified CTPN model 1.0 | 100.00% | 100.00% | 100.00% |
| CITlab Argus Textline Detection | 99.47% | 98.97% | 99.22% |
| MCTPN2 | 97.37% | 100.00% | 98.67% |
| SROIE Fourth Submission | 97.37% | 100.00% | 98.67% |
| EfficientDet and EAST | 97.37% | 100.00% | 98.67% |
| only PAN | 97.37% | 100.00% | 98.67% |
| Linklogis_BeeAI | 97.37% | 100.00% | 98.67% |
| 58 OCR100 | 99.47% | 96.50% | 97.96% |
| A modified CTPN model 2.0 | 98.42% | 96.67% | 97.54% |
| A Single-Shot Model for Robust Text Localization | 97.37% | 97.37% | 97.37% |
| base4 | 97.37% | 97.37% | 97.37% |
| test | 97.37% | 97.37% | 97.37% |
| test_1.6 | 97.37% | 97.37% | 97.37% |
| test_1.7 | 97.37% | 97.37% | 97.37% |
| EAST_clip_enhance_896_giou | 94.74% | 100.00% | 97.30% |
| BOE_IOT_AIBD | 94.74% | 100.00% | 97.30% |
| PhucPH | 97.37% | 94.87% | 96.10% |
| IFLYTEK-textDet_v3 | 94.74% | 97.06% | 95.88% |
| EM_ocr | 95.79% | 94.63% | 95.21% |
| SituTech_OCR | 94.21% | 96.22% | 95.20% |
| EAST modified | 94.74% | 94.74% | 94.74% |
| BiLSTM Based on CTPN | 92.11% | 96.97% | 94.47% |
| Unet and Morphology Prediction | 94.74% | 92.31% | 93.51% |
| MDetector | 92.11% | 94.44% | 93.26% |
| ViTLP | 92.11% | 92.11% | 92.11% |
| CTPN-SROIE | 84.21% | 100.00% | 91.43% |
| A Text Localization Method Based on CTPN | 84.21% | 100.00% | 91.43% |
| Vsdnu | 89.47% | 89.47% | 89.47% |
| ICA-IVA | 89.47% | 89.19% | 89.33% |
| Yolov3_Autohome | 86.84% | 86.84% | 86.84% |
| Textline detection | 78.95% | 96.43% | 86.82% |
| YOLO Text Detector | 80.00% | 80.00% | 80.00% |
| Unet Segmentation and Watershed | 76.32% | 74.36% | 75.32% |
| Improved yolov3 model | 73.68% | 75.68% | 74.67% |
| scene text detection weapon | 73.16% | 60.94% | 66.49% |
| Original CRAFT for SROIE | 52.11% | 36.73% | 43.09% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 35.26% | 20.91% | 26.25% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 30.00% | 17.62% | 22.20% |
| Receipt Info Extracting Task1 zone-dividing | 0.00% | 0.00% | 0.00% |