TH | 100.00% | 100.00% | 90.00% | 94.74% |
SituTech_OCR | 100.00% | 100.00% | 100.00% | 100.00% |
TH-DL | 94.68% | 100.00% | 90.00% | 94.74% |
PSENet_v1 | 88.89% | 88.89% | 57.14% | 69.57% |
CLTDR | 88.89% | 88.89% | 66.67% | 76.19% |
A two-stage text detector based on cascade rcnn | 88.89% | 88.89% | 100.00% | 94.12% |
A two-stage text detector based on cascade rcnn(using total 10000 images of mlt19) | 88.89% | 88.89% | 100.00% | 94.12% |
Drew | 88.89% | 88.89% | 100.00% | 94.12% |
CPN (multi-scale) | 87.65% | 88.89% | 88.89% | 88.89% |
Unicamp-SRBR-MLT2019-S1 | 82.53% | 88.89% | 72.73% | 80.00% |
Unicamp-SRBR-MLT2019-FUSION-PSENET-PELEETEXT | 79.57% | 88.89% | 72.73% | 80.00% |
mm-maskrcnn_v2 | 74.80% | 77.78% | 77.78% | 77.78% |
ESTextSpotter | 74.80% | 77.78% | 70.00% | 73.68% |
DISTILLED CRAFT | 74.12% | 88.89% | 88.89% | 88.89% |
Tencent-DPPR Team (Method_v0.1) | 72.95% | 77.78% | 87.50% | 82.35% |
PMTD | 72.95% | 77.78% | 63.64% | 70.00% |
Tencent-DPPR Team (Method_v0.2) | 72.95% | 77.78% | 77.78% | 77.78% |
Tencent-DPPR Team (Method_v0.3) | 72.95% | 77.78% | 77.78% | 77.78% |
Tencent-DPPR Team | 72.95% | 77.78% | 77.78% | 77.78% |
DeepSolo++ (ResNet-50) | 72.95% | 77.78% | 70.00% | 73.68% |
TH-DL-v1 | 72.90% | 88.89% | 72.73% | 80.00% |
NJU-ImagineLab(v3) | 71.87% | 77.78% | 70.00% | 73.68% |
TH-DL-v2 | 71.57% | 88.89% | 72.73% | 80.00% |
RRPN | 69.65% | 77.78% | 63.64% | 70.00% |
Unicamp-SRBR-MLT2019-PELEETEXT | 69.65% | 77.78% | 70.00% | 73.68% |
sot | 67.95% | 77.78% | 77.78% | 77.78% |
multi-stage_text_detector | 67.95% | 77.78% | 87.50% | 82.35% |
multi-stage_text_detector_v2 | 67.95% | 77.78% | 87.50% | 82.35% |
multi-stage_text_detector_v3 | 67.95% | 77.78% | 87.50% | 82.35% |
multi-stage_text_detector_v4 | 67.95% | 77.78% | 87.50% | 82.35% |
Sogou_OCR | 67.95% | 77.78% | 70.00% | 73.68% |
two stage text detector | 66.87% | 77.78% | 77.78% | 77.78% |
Lomin OCR | 59.22% | 77.78% | 38.89% | 51.85% |
text-mountain | 58.69% | 77.78% | 77.78% | 77.78% |
IC_RL | 58.23% | 66.67% | 66.67% | 66.67% |
maskrcnn++ result | 58.23% | 66.67% | 66.67% | 66.67% |
NCU_MSP | 55.56% | 55.56% | 71.43% | 62.50% |
TD-PPIoU | 53.70% | 55.56% | 71.43% | 62.50% |
CRAFTS | 52.38% | 55.56% | 71.43% | 62.50% |
CRAFTS(Initial) | 51.48% | 55.56% | 71.43% | 62.50% |
DSIT-UOA | 50.34% | 66.67% | 60.00% | 63.16% |
Cyberspace | 50.16% | 55.56% | 71.43% | 62.50% |
MEAST_V3_23_Oct | 46.85% | 66.67% | 42.86% | 52.17% |
NXB OCR | 46.11% | 66.67% | 54.55% | 60.00% |
MLT2019 ETD | 40.53% | 55.56% | 55.56% | 55.56% |
NCU | 34.59% | 55.56% | 62.50% | 58.82% |
NXB OCR | 34.26% | 44.44% | 44.44% | 44.44% |
MEAST_V2_8_oct | 29.62% | 55.56% | 35.71% | 43.48% |
TP | 27.88% | 66.67% | 42.86% | 52.17% |
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% |