 H&H Lab | 100.00% | 100.00% | 100.00% |
| HeReceipt-Rotation | 100.00% | 100.00% | 100.00% |
| Samsung Life Insurance | 100.00% | 100.00% | 100.00% |
| BreSee OCR | 100.00% | 98.18% | 99.08% |
| BOE_AIoT_CTO | 98.15% | 100.00% | 99.07% |
| NetEase OCR | 98.15% | 100.00% | 99.07% |
| DR Team | 100.00% | 96.43% | 98.18% |
| Linklogis_BigData | 100.00% | 96.43% | 98.18% |
| SCUT-DLVC-Lab-Refinement | 98.15% | 98.15% | 98.15% |
| Sunshine_OCR | 98.15% | 98.15% | 98.15% |
| Linklogis_BeeAI | 98.15% | 98.15% | 98.15% |
| SituTech_OCR | 98.15% | 98.11% | 98.13% |
| MDetector | 96.30% | 100.00% | 98.11% |
| A modified CTPN model 1.0 | 98.15% | 96.36% | 97.25% |
| SROIE Fourth Submission | 94.44% | 100.00% | 97.14% |
| Gem AI - OCR Team | 98.15% | 96.15% | 97.14% |
| IFLYTEK-textDet_v3 | 96.30% | 98.00% | 97.14% |
| ViTLP | 96.30% | 96.30% | 96.30% |
| Ping An Property & Casualty Insurance Company | 96.30% | 96.23% | 96.26% |
| GREAT-OCR Shanghai University | 96.30% | 96.23% | 96.26% |
| Vsdnu | 94.44% | 98.08% | 96.23% |
| only PAN | 94.44% | 98.08% | 96.23% |
| EfficientDet and EAST | 92.59% | 98.04% | 95.24% |
| EAST modified | 92.59% | 98.04% | 95.24% |
| Clova OCR | 96.30% | 92.73% | 94.48% |
| EM_ocr | 92.59% | 96.15% | 94.34% |
| PhucPH | 94.44% | 94.23% | 94.34% |
| BiLSTM Based on CTPN | 92.59% | 95.83% | 94.19% |
| A modified CTPN model 2.0 | 94.44% | 92.73% | 93.58% |
| MCTPN2 | 92.59% | 94.23% | 93.40% |
| EAST_clip_enhance_896_giou | 90.74% | 96.00% | 93.30% |
| CITlab Argus Textline Detection | 96.30% | 89.47% | 92.76% |
| 58CV | 92.59% | 92.59% | 92.59% |
| Granville ocr | 92.59% | 92.59% | 92.59% |
| BOE_IOT_AIBD | 94.44% | 90.57% | 92.46% |
| Pixellink multi-scale Detection | 92.59% | 92.31% | 92.45% |
| A Single-Shot Model for Robust Text Localization | 90.74% | 92.45% | 91.59% |
| A Text Localization Method Based on CTPN | 88.89% | 89.80% | 89.34% |
| Textline detection | 87.04% | 91.49% | 89.21% |
| Yolov3_Autohome | 87.04% | 87.04% | 87.04% |
| base1 | 88.89% | 80.00% | 84.21% |
| base2 | 88.89% | 80.00% | 84.21% |
| base3 | 88.89% | 80.00% | 84.21% |
| test_1.7 | 83.33% | 76.27% | 79.65% |
| Unet Segmentation and Watershed | 79.63% | 78.18% | 78.90% |
| Improved yolov3 model | 74.07% | 83.33% | 78.43% |
| Original CRAFT for SROIE | 76.67% | 78.35% | 77.50% |
| ICA-IVA | 79.63% | 75.44% | 77.48% |
| 58 OCR100 | 77.41% | 77.45% | 77.43% |
| YOLO Text Detector | 74.07% | 75.47% | 74.77% |
| test_1.6 | 75.93% | 69.49% | 72.57% |
| CTPN-SROIE | 62.59% | 76.89% | 69.01% |
| Task 1 - Scanned Receipt Text Localisation (Submitted by Intuit Inc.) | 64.81% | 66.04% | 65.42% |
| base4 | 66.67% | 61.02% | 63.72% |
| test | 66.67% | 61.02% | 63.72% |
| Unet and Morphology Prediction | 62.22% | 60.00% | 61.09% |
| scene text detection weapon | 22.22% | 71.43% | 33.90% |
| Practicing project for Scientific Research Subject (HCMUS master program) | 23.70% | 24.31% | 24.00% |
| Receipt Info Extracting Task1 zone-dividing | 0.00% | 0.00% | 0.00% |