 H&H Lab | 100.00% | 100.00% | 100.00% |
| BOE_AIoT_CTO | 100.00% | 100.00% | 100.00% |
| NetEase OCR | 100.00% | 100.00% | 100.00% |
| BreSee OCR | 100.00% | 100.00% | 100.00% |
| Linklogis_BeeAI | 100.00% | 100.00% | 100.00% |
| Samsung Life Insurance | 99.39% | 98.82% | 99.11% |
| A modified CTPN model 2.0 | 96.97% | 96.97% | 96.97% |
| Ping An Property & Casualty Insurance Company | 93.94% | 96.77% | 95.34% |
| Vsdnu | 93.94% | 96.67% | 95.28% |
| A modified CTPN model 1.0 | 96.97% | 93.55% | 95.23% |
| EAST_clip_enhance_896_giou | 93.94% | 96.15% | 95.03% |
| BOE_IOT_AIBD | 93.94% | 95.83% | 94.88% |
| Sunshine_OCR | 93.94% | 93.55% | 93.74% |
| SituTech_OCR | 90.91% | 96.67% | 93.70% |
| A Single-Shot Model for Robust Text Localization | 93.94% | 93.33% | 93.64% |
| DR Team | 93.94% | 93.33% | 93.64% |
| EM_ocr | 90.91% | 96.15% | 93.46% |
| MCTPN2 | 93.94% | 92.86% | 93.40% |
| Textline detection | 93.94% | 91.67% | 92.79% |
| A Text Localization Method Based on CTPN | 93.94% | 91.67% | 92.79% |
| SCUT-DLVC-Lab-Refinement | 90.91% | 93.75% | 92.31% |
| Granville ocr | 90.91% | 93.33% | 92.11% |
| Gem AI - OCR Team | 93.94% | 88.89% | 91.34% |
| Linklogis_BigData | 87.88% | 93.55% | 90.63% |
| Clova OCR | 90.91% | 90.32% | 90.61% |
| GREAT-OCR Shanghai University | 87.88% | 93.33% | 90.52% |
| 58 OCR100 | 87.88% | 93.10% | 90.42% |
| SROIE Fourth Submission | 84.85% | 96.55% | 90.32% |
| ICA-IVA | 87.88% | 92.31% | 90.04% |
| 58CV | 90.91% | 88.89% | 89.89% |
| PhucPH | 90.91% | 88.46% | 89.67% |
| BiLSTM Based on CTPN | 87.88% | 91.30% | 89.56% |
| EAST modified | 90.91% | 88.24% | 89.55% |
| test_1.6 | 90.91% | 87.88% | 89.37% |
| test_1.7 | 90.91% | 87.88% | 89.37% |
| CITlab Argus Textline Detection | 84.85% | 93.33% | 88.89% |
| MDetector | 84.85% | 92.31% | 88.42% |
| only PAN | 87.88% | 88.89% | 88.38% |
| IFLYTEK-textDet_v3 | 87.88% | 88.46% | 88.17% |
| Unet and Morphology Prediction | 87.88% | 87.88% | 87.88% |
| CTPN-SROIE | 90.91% | 83.33% | 86.96% |
| EfficientDet and EAST | 84.85% | 87.50% | 86.15% |
| base1 | 84.85% | 85.71% | 85.28% |
| base2 | 84.85% | 85.71% | 85.28% |
| base3 | 84.85% | 85.71% | 85.28% |
| base4 | 84.85% | 81.82% | 83.31% |
| test | 84.85% | 81.82% | 83.31% |
| HeReceipt-Rotation | 81.82% | 84.38% | 83.08% |
| ViTLP | 78.79% | 78.79% | 78.79% |
| Pixellink multi-scale Detection | 75.76% | 74.07% | 74.91% |
| Yolov3_Autohome | 69.09% | 80.71% | 74.45% |
| YOLO Text Detector | 70.30% | 77.33% | 73.65% |
| Original CRAFT for SROIE | 78.79% | 68.13% | 73.07% |
| Receipt Info Extracting Task1 zone-dividing | 72.73% | 68.00% | 70.28% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 56.97% | 50.29% | 53.42% |
| Unet Segmentation and Watershed | 39.39% | 39.39% | 39.39% |
| Improved yolov3 model | 32.73% | 37.39% | 34.90% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 30.30% | 33.18% | 31.68% |
| scene text detection weapon | 24.24% | 45.45% | 31.62% |