 two stage text detector | 66.67% | 66.67% | 85.71% | 75.00% |
| CLTDR | 66.67% | 66.67% | 85.71% | 75.00% |
| sot | 66.67% | 66.67% | 85.71% | 75.00% |
| Sogou_OCR | 66.67% | 66.67% | 85.71% | 75.00% |
| maskrcnn++ result | 65.08% | 66.67% | 66.67% | 66.67% |
| PMTD | 65.08% | 66.67% | 85.71% | 75.00% |
| mm-maskrcnn_v2 | 65.08% | 66.67% | 85.71% | 75.00% |
| CPN (multi-scale) | 65.08% | 66.67% | 85.71% | 75.00% |
| A two-stage text detector based on cascade rcnn | 63.23% | 66.67% | 85.71% | 75.00% |
| A two-stage text detector based on cascade rcnn(using total 10000 images of mlt19) | 63.23% | 66.67% | 85.71% | 75.00% |
| NJU-ImagineLab(v3) | 63.23% | 66.67% | 85.71% | 75.00% |
| Unicamp-SRBR-MLT2019-PELEETEXT | 63.23% | 66.67% | 75.00% | 70.59% |
| Tencent-DPPR Team (Method_v0.2) | 61.01% | 66.67% | 75.00% | 70.59% |
| DeepSolo++ (ResNet-50) | 59.81% | 66.67% | 75.00% | 70.59% |
| Unicamp-SRBR-MLT2019-S1 | 58.80% | 66.67% | 50.00% | 57.14% |
| MLT2019 ETD | 58.23% | 66.67% | 85.71% | 75.00% |
| Tencent-DPPR Team (Method_v0.3) | 58.23% | 66.67% | 75.00% | 70.59% |
| Tencent-DPPR Team | 58.23% | 66.67% | 75.00% | 70.59% |
| multi-stage_text_detector_v4 | 58.23% | 66.67% | 85.71% | 75.00% |
| TH | 58.23% | 66.67% | 85.71% | 75.00% |
| RRPN | 55.56% | 55.56% | 55.56% | 55.56% |
| Tencent-DPPR Team (Method_v0.1) | 54.52% | 66.67% | 75.00% | 70.59% |
| multi-stage_text_detector | 54.52% | 66.67% | 85.71% | 75.00% |
| multi-stage_text_detector_v2 | 54.52% | 66.67% | 85.71% | 75.00% |
| multi-stage_text_detector_v3 | 54.52% | 66.67% | 85.71% | 75.00% |
| IC_RL | 53.70% | 55.56% | 62.50% | 58.82% |
| Unicamp-SRBR-MLT2019-FUSION-PSENET-PELEETEXT | 52.18% | 66.67% | 46.15% | 54.55% |
| Drew | 50.16% | 55.56% | 62.50% | 58.82% |
| ESTextSpotter | 48.97% | 66.67% | 85.71% | 75.00% |
| SituTech_OCR | 47.78% | 66.67% | 75.00% | 70.59% |
| NCU_MSP | 46.46% | 66.67% | 75.00% | 70.59% |
| Lomin OCR | 41.87% | 77.78% | 36.84% | 50.00% |
| PSENet_v1 | 38.89% | 44.44% | 26.67% | 33.33% |
| DISTILLED CRAFT | 37.96% | 44.44% | 33.33% | 38.10% |
| NXB OCR | 37.48% | 55.56% | 41.67% | 47.62% |
| text-mountain | 36.69% | 77.78% | 41.18% | 53.85% |
| Cyberspace | 36.30% | 44.44% | 57.14% | 50.00% |
| DSIT-UOA | 35.74% | 44.44% | 57.14% | 50.00% |
| CRAFTS | 33.33% | 44.44% | 44.44% | 44.44% |
| TP | 29.68% | 44.44% | 57.14% | 50.00% |
| TD-PPIoU | 28.70% | 44.44% | 57.14% | 50.00% |
| CRAFTS(Initial) | 16.67% | 22.22% | 20.00% | 21.05% |
| NCU | 15.86% | 55.56% | 41.67% | 47.62% |
| NXB OCR | 13.33% | 22.22% | 12.50% | 16.00% |
| TH-DL | 10.00% | 22.22% | 28.57% | 25.00% |
| TH-DL-v1 | 9.26% | 22.22% | 28.57% | 25.00% |
| MEAST_V2_8_oct | 8.15% | 22.22% | 14.29% | 17.39% |
| MEAST_V3_23_Oct | 7.47% | 33.33% | 25.00% | 28.57% |
| TH-DL-v2 | 1.85% | 11.11% | 12.50% | 11.76% |
| 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% |
| PydBox-TextDetector | 0.00% | 0.00% | 0.00% | 0.00% |
| tsinghuaee51_MLT2019 | 0.00% | 0.00% | 0.00% | 0.00% |