 multi-stage_text_detector_v4 | 93.07% | 93.75% | 95.74% | 94.74% |
| multi-stage_text_detector | 92.87% | 93.75% | 95.74% | 94.74% |
| multi-stage_text_detector_v2 | 92.87% | 93.75% | 95.74% | 94.74% |
| multi-stage_text_detector_v3 | 92.87% | 93.75% | 95.74% | 94.74% |
| SituTech_OCR | 89.58% | 89.58% | 100.00% | 94.51% |
| Tencent-DPPR Team (Method_v0.1) | 88.99% | 91.67% | 95.65% | 93.62% |
| Tencent-DPPR Team (Method_v0.2) | 88.19% | 91.67% | 91.67% | 91.67% |
| Tencent-DPPR Team (Method_v0.3) | 88.01% | 91.67% | 91.67% | 91.67% |
| Tencent-DPPR Team | 87.95% | 91.67% | 91.67% | 91.67% |
| IC_RL | 86.70% | 89.58% | 93.48% | 91.49% |
| maskrcnn++ result | 85.41% | 89.58% | 91.49% | 90.53% |
| TH | 84.93% | 89.58% | 95.56% | 92.47% |
| TH-DL-v2 | 84.62% | 85.42% | 93.18% | 89.13% |
| mm-maskrcnn_v2 | 84.61% | 85.42% | 95.35% | 90.11% |
| ESTextSpotter | 84.58% | 89.58% | 93.48% | 91.49% |
| TH-DL | 83.47% | 85.42% | 89.13% | 87.23% |
| TH-DL-v1 | 82.38% | 83.33% | 95.24% | 88.89% |
| PMTD | 80.92% | 83.33% | 93.02% | 87.91% |
| text-mountain | 80.26% | 95.83% | 85.19% | 90.20% |
| sot | 76.74% | 79.17% | 92.68% | 85.39% |
| Unicamp-SRBR-MLT2019-PELEETEXT | 76.49% | 77.08% | 90.24% | 83.15% |
| CRAFTS | 74.89% | 75.00% | 97.30% | 84.71% |
| PSENet_v1 | 73.14% | 79.17% | 79.17% | 79.17% |
| DISTILLED CRAFT | 69.75% | 81.25% | 81.25% | 81.25% |
| Sogou_OCR | 68.46% | 70.83% | 91.89% | 80.00% |
| A two-stage text detector based on cascade rcnn(using total 10000 images of mlt19) | 65.98% | 70.83% | 82.93% | 76.40% |
| NJU-ImagineLab(v3) | 65.94% | 68.75% | 94.29% | 79.52% |
| Unicamp-SRBR-MLT2019-FUSION-PSENET-PELEETEXT | 65.07% | 72.92% | 77.78% | 75.27% |
| DeepSolo++ (ResNet-50) | 62.41% | 64.58% | 91.18% | 75.61% |
| TD-PPIoU | 59.01% | 60.42% | 96.67% | 74.36% |
| A two-stage text detector based on cascade rcnn | 58.14% | 64.58% | 83.78% | 72.94% |
| RRPN | 56.73% | 62.50% | 90.91% | 74.07% |
| Lomin OCR | 56.47% | 64.58% | 64.58% | 64.58% |
| Drew | 55.02% | 58.33% | 90.32% | 70.89% |
| MEAST_V2_8_oct | 54.59% | 70.83% | 85.00% | 77.27% |
| Unicamp-SRBR-MLT2019-S1 | 52.13% | 56.25% | 72.97% | 63.53% |
| two stage text detector | 51.95% | 60.42% | 82.86% | 69.88% |
| NCU_MSP | 49.33% | 62.50% | 81.08% | 70.59% |
| NCU | 48.49% | 64.58% | 77.50% | 70.45% |
| NXB OCR | 47.51% | 66.67% | 72.73% | 69.57% |
| MEAST_V3_23_Oct | 45.34% | 60.42% | 76.32% | 67.44% |
| CRAFTS(Initial) | 45.25% | 45.83% | 75.86% | 57.14% |
| MLT2019 ETD | 42.74% | 60.42% | 72.50% | 65.91% |
| NXB OCR | 41.73% | 58.33% | 66.67% | 62.22% |
| PydBox-TextDetector | 38.83% | 52.08% | 78.13% | 62.50% |
| TP | 24.64% | 37.50% | 69.23% | 48.65% |
| CLTDR | 21.38% | 35.42% | 70.83% | 47.22% |
| DSIT-UOA | 9.65% | 10.42% | 83.33% | 18.52% |
| Cyberspace | 6.12% | 14.58% | 46.67% | 22.22% |
| 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% |