 IFLYTEK-textDet_v3 | 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% |
| SCUT-DLVC-Lab-Refinement | 100.00% | 100.00% | 100.00% |
| MCTPN2 | 100.00% | 100.00% | 100.00% |
| GREAT-OCR Shanghai University | 100.00% | 100.00% | 100.00% |
| EM_ocr | 100.00% | 100.00% | 100.00% |
| BOE_IOT_AIBD | 100.00% | 100.00% | 100.00% |
| Clova OCR | 100.00% | 100.00% | 100.00% |
| BOE_AIoT_CTO | 100.00% | 100.00% | 100.00% |
| only PAN | 100.00% | 100.00% | 100.00% |
| Samsung Life Insurance | 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% |
| Linklogis_BigData | 100.00% | 100.00% | 100.00% |
| Gem AI - OCR Team | 100.00% | 100.00% | 100.00% |
| BreSee OCR | 100.00% | 100.00% | 100.00% |
| Linklogis_BeeAI | 100.00% | 100.00% | 100.00% |
| A modified CTPN model 2.0 | 100.00% | 100.00% | 100.00% |
| Unet and Morphology Prediction | 97.96% | 100.00% | 98.97% |
| 58CV | 100.00% | 97.92% | 98.95% |
| EfficientDet and EAST | 97.55% | 99.18% | 98.36% |
| MDetector | 99.59% | 97.14% | 98.35% |
| 58 OCR100 | 100.00% | 96.08% | 98.00% |
| HeReceipt-Rotation | 97.96% | 97.96% | 97.96% |
| SROIE Fourth Submission | 97.96% | 97.96% | 97.96% |
| SituTech_OCR | 97.96% | 97.87% | 97.92% |
| BiLSTM Based on CTPN | 97.96% | 97.67% | 97.82% |
| Pixellink multi-scale Detection | 97.96% | 96.00% | 96.97% |
| EAST_clip_enhance_896_giou | 93.88% | 100.00% | 96.84% |
| Textline detection | 95.92% | 97.37% | 96.64% |
| CITlab Argus Textline Detection | 95.92% | 95.92% | 95.92% |
| Granville ocr | 95.92% | 95.92% | 95.92% |
| ViTLP | 95.92% | 95.92% | 95.92% |
| A modified CTPN model 1.0 | 95.92% | 95.74% | 95.83% |
| A Text Localization Method Based on CTPN | 93.88% | 97.44% | 95.62% |
| PhucPH | 95.51% | 95.20% | 95.35% |
| A Single-Shot Model for Robust Text Localization | 95.92% | 93.88% | 94.89% |
| ICA-IVA | 93.88% | 93.62% | 93.75% |
| CTPN-SROIE | 91.84% | 94.74% | 93.26% |
| test_1.7 | 93.88% | 91.84% | 92.85% |
| EAST modified | 87.76% | 89.58% | 88.66% |
| test_1.6 | 87.76% | 85.71% | 86.72% |
| Yolov3_Autohome | 85.71% | 85.71% | 85.71% |
| base1 | 85.71% | 85.42% | 85.57% |
| base2 | 85.71% | 85.42% | 85.57% |
| base3 | 85.71% | 85.42% | 85.57% |
| Improved yolov3 model | 81.22% | 86.38% | 83.72% |
| scene text detection weapon | 82.45% | 82.00% | 82.22% |
| Vsdnu | 79.59% | 82.61% | 81.07% |
| base4 | 81.63% | 79.59% | 80.60% |
| test | 81.63% | 79.59% | 80.60% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 76.73% | 84.58% | 80.47% |
| YOLO Text Detector | 80.00% | 80.00% | 80.00% |
| Original CRAFT for SROIE | 73.06% | 60.00% | 65.89% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 48.57% | 32.83% | 39.18% |
| Receipt Info Extracting Task1 zone-dividing | 29.39% | 30.45% | 29.91% |
| Unet Segmentation and Watershed | 28.57% | 25.45% | 26.92% |