 NJU-ImagineLab(v3) | 100.00% | 100.00% | 93.75% | 96.77% |
| mm-maskrcnn_v2 | 100.00% | 100.00% | 100.00% | 100.00% |
| Sogou_OCR | 100.00% | 100.00% | 100.00% | 100.00% |
| TH | 100.00% | 100.00% | 100.00% | 100.00% |
| multi-stage_text_detector | 95.58% | 100.00% | 88.24% | 93.75% |
| multi-stage_text_detector_v2 | 95.58% | 100.00% | 88.24% | 93.75% |
| multi-stage_text_detector_v3 | 95.58% | 100.00% | 88.24% | 93.75% |
| Tencent-DPPR Team (Method_v0.2) | 93.33% | 93.33% | 77.78% | 84.85% |
| Tencent-DPPR Team (Method_v0.3) | 93.33% | 93.33% | 77.78% | 84.85% |
| Tencent-DPPR Team | 93.33% | 93.33% | 77.78% | 84.85% |
| SituTech_OCR | 93.33% | 93.33% | 100.00% | 96.55% |
| DeepSolo++ (ResNet-50) | 93.33% | 93.33% | 87.50% | 90.32% |
| sot | 92.89% | 93.33% | 70.00% | 80.00% |
| multi-stage_text_detector_v4 | 92.89% | 93.33% | 87.50% | 90.32% |
| maskrcnn++ result | 91.90% | 93.33% | 87.50% | 90.32% |
| PMTD | 91.90% | 93.33% | 87.50% | 90.32% |
| ESTextSpotter | 90.60% | 93.33% | 77.78% | 84.85% |
| Tencent-DPPR Team (Method_v0.1) | 90.10% | 93.33% | 87.50% | 90.32% |
| A two-stage text detector based on cascade rcnn | 90.10% | 93.33% | 87.50% | 90.32% |
| DISTILLED CRAFT | 86.67% | 86.67% | 81.25% | 83.87% |
| Unicamp-SRBR-MLT2019-FUSION-PSENET-PELEETEXT | 85.68% | 86.67% | 92.86% | 89.66% |
| CRAFTS(Initial) | 85.12% | 86.67% | 92.86% | 89.66% |
| two stage text detector | 84.27% | 86.67% | 86.67% | 86.67% |
| RRPN | 82.74% | 86.67% | 72.22% | 78.79% |
| TD-PPIoU | 81.79% | 86.67% | 86.67% | 86.67% |
| Unicamp-SRBR-MLT2019-PELEETEXT | 80.00% | 80.00% | 100.00% | 88.89% |
| CRAFTS | 79.49% | 80.00% | 92.31% | 85.71% |
| NCU | 79.49% | 80.00% | 92.31% | 85.71% |
| Drew | 77.22% | 80.00% | 85.71% | 82.76% |
| NCU_MSP | 76.64% | 93.33% | 87.50% | 90.32% |
| Lomin OCR | 73.58% | 80.00% | 75.00% | 77.42% |
| MLT2019 ETD | 73.33% | 73.33% | 100.00% | 84.62% |
| NXB OCR | 72.62% | 86.67% | 76.47% | 81.25% |
| TP | 72.31% | 73.33% | 73.33% | 73.33% |
| PSENet_v1 | 70.31% | 86.67% | 72.22% | 78.79% |
| A two-stage text detector based on cascade rcnn(using total 10000 images of mlt19) | 69.46% | 73.33% | 64.71% | 68.75% |
| CLTDR | 69.39% | 73.33% | 73.33% | 73.33% |
| TH-DL-v2 | 68.92% | 86.67% | 68.42% | 76.47% |
| IC_RL | 65.39% | 86.67% | 72.22% | 78.79% |
| text-mountain | 63.67% | 86.67% | 68.42% | 76.47% |
| Unicamp-SRBR-MLT2019-S1 | 53.33% | 53.33% | 80.00% | 64.00% |
| MEAST_V3_23_Oct | 52.59% | 53.33% | 88.89% | 66.67% |
| Cyberspace | 50.47% | 60.00% | 75.00% | 66.67% |
| MEAST_V2_8_oct | 49.70% | 53.33% | 88.89% | 66.67% |
| TH-DL | 45.11% | 73.33% | 57.89% | 64.71% |
| NXB OCR | 43.77% | 46.67% | 77.78% | 58.33% |
| TH-DL-v1 | 38.06% | 73.33% | 61.11% | 66.67% |
| PydBox-TextDetector | 27.64% | 46.67% | 58.33% | 51.85% |
| DSIT-UOA | 11.83% | 20.00% | 27.27% | 23.08% |
| AAAA | 0.00% | 0.00% | 0.00% | 0.00% |
| 4Paradigm-Data-Intelligence | 0.00% | 0.00% | 0.00% | 0.00% |
| Unicamp-SRBR-MLT2019-S1 | 0.00% | 0.00% | 0.00% | 0.00% |
| tsinghuaee51_MLT2019 | 0.00% | 0.00% | 0.00% | 0.00% |