IC_RL | 90.00% | 90.00% | 100.00% | 94.74% |
maskrcnn++ result | 90.00% | 90.00% | 100.00% | 94.74% |
DISTILLED CRAFT | 90.00% | 90.00% | 90.00% | 90.00% |
NJU-ImagineLab(v3) | 90.00% | 90.00% | 90.00% | 90.00% |
Unicamp-SRBR-MLT2019-PELEETEXT | 90.00% | 90.00% | 81.82% | 85.71% |
multi-stage_text_detector_v4 | 90.00% | 90.00% | 100.00% | 94.74% |
Sogou_OCR | 90.00% | 90.00% | 90.00% | 90.00% |
SituTech_OCR | 90.00% | 90.00% | 100.00% | 94.74% |
ESTextSpotter | 90.00% | 90.00% | 90.00% | 90.00% |
DeepSolo++ (ResNet-50) | 90.00% | 90.00% | 100.00% | 94.74% |
TD-PPIoU | 90.00% | 90.00% | 90.00% | 90.00% |
CPN (multi-scale) | 90.00% | 90.00% | 100.00% | 94.74% |
PSENet_v1 | 89.00% | 90.00% | 90.00% | 90.00% |
multi-stage_text_detector | 86.64% | 90.00% | 90.00% | 90.00% |
text-mountain | 86.64% | 90.00% | 81.82% | 85.71% |
multi-stage_text_detector_v2 | 86.64% | 90.00% | 90.00% | 90.00% |
multi-stage_text_detector_v3 | 86.64% | 90.00% | 90.00% | 90.00% |
TP | 83.54% | 90.00% | 90.00% | 90.00% |
PMTD | 77.64% | 80.00% | 88.89% | 84.21% |
Tencent-DPPR Team (Method_v0.2) | 77.64% | 80.00% | 80.00% | 80.00% |
Tencent-DPPR Team (Method_v0.3) | 77.64% | 80.00% | 80.00% | 80.00% |
Tencent-DPPR Team | 77.64% | 80.00% | 80.00% | 80.00% |
NCU | 77.64% | 80.00% | 88.89% | 84.21% |
Tencent-DPPR Team (Method_v0.1) | 76.21% | 80.00% | 88.89% | 84.21% |
Unicamp-SRBR-MLT2019-S1 | 76.21% | 80.00% | 88.89% | 84.21% |
Unicamp-SRBR-MLT2019-FUSION-PSENET-PELEETEXT | 76.21% | 80.00% | 80.00% | 80.00% |
TH-DL | 75.32% | 80.00% | 80.00% | 80.00% |
A two-stage text detector based on cascade rcnn | 72.54% | 80.00% | 80.00% | 80.00% |
CRAFTS(Initial) | 67.32% | 70.00% | 87.50% | 77.78% |
TH | 66.71% | 80.00% | 88.89% | 84.21% |
sot | 65.82% | 80.00% | 72.73% | 76.19% |
TH-DL-v1 | 64.50% | 70.00% | 70.00% | 70.00% |
TH-DL-v2 | 64.50% | 70.00% | 70.00% | 70.00% |
two stage text detector | 63.65% | 70.00% | 77.78% | 73.68% |
CLTDR | 63.65% | 70.00% | 77.78% | 73.68% |
NCU_MSP | 61.71% | 80.00% | 88.89% | 84.21% |
Drew | 60.00% | 60.00% | 75.00% | 66.67% |
CRAFTS | 59.09% | 70.00% | 70.00% | 70.00% |
MLT2019 ETD | 57.82% | 70.00% | 87.50% | 77.78% |
RRPN | 56.90% | 60.00% | 85.71% | 70.59% |
A two-stage text detector based on cascade rcnn(using total 10000 images of mlt19) | 50.92% | 60.00% | 54.55% | 57.14% |
PydBox-TextDetector | 48.33% | 50.00% | 83.33% | 62.50% |
Lomin OCR | 45.81% | 60.00% | 60.00% | 60.00% |
mm-maskrcnn_v2 | 44.07% | 60.00% | 85.71% | 70.59% |
NXB OCR | 30.00% | 40.00% | 50.00% | 44.44% |
MEAST_V2_8_oct | 29.88% | 40.00% | 40.00% | 40.00% |
Cyberspace | 27.17% | 40.00% | 80.00% | 53.33% |
MEAST_V3_23_Oct | 23.75% | 30.00% | 37.50% | 33.33% |
DSIT-UOA | 12.62% | 30.00% | 33.33% | 31.58% |
NXB OCR | 3.33% | 10.00% | 14.29% | 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% |
tsinghuaee51_MLT2019 | 0.00% | 0.00% | 0.00% | 0.00% |