Sample RankingRecallPrecisionHmean
mask rcnn90.00%100.00%94.74%
MFTD: Mask Filters for Text Detection90.00%100.00%94.74%
baseline_polygon90.00%100.00%94.74%
Alibaba-PAI90.00%100.00%94.74%
Sg_ptd90.00%100.00%94.74%
SRCB_Art90.00%100.00%94.74%
Fudan-Supremind Detection v390.00%100.00%94.74%
DMCA90.00%100.00%94.74%
Mask RCNN90.00%100.00%94.74%
MaskDet90.00%100.00%94.74%
TEXT_SNIPER90.00%100.00%94.74%
TMIS90.00%100.00%94.74%
CUTeOCR90.00%100.00%94.74%
MEGVII_Detection90.00%100.00%94.74%
NJU-ImagineLab90.00%100.00%94.74%
Sogou_OCR90.00%100.00%94.74%
Tencent TEG OCR90.00%100.00%94.74%
Mask R-CNN90.00%100.00%94.74%
TextFuseNet (ResNeXt-101)90.00%100.00%94.74%
TextFuseNet (ResNet-50)90.00%100.00%94.74%
I3CL90.00%100.00%94.74%
DPText-DETR (ResNet-50)90.00%100.00%94.74%
AntFin-Cascade Mask R-CNN90.00%100.00%94.74%
TD-PPIoU90.00%100.00%94.74%
SRFormer (ResNet50-#1seg)90.00%100.00%94.74%
ESRNet90.00%100.00%94.74%
LRANet90.00%100.00%94.74%
DMText_art90.00%90.00%90.00%
TextMask_V190.00%90.00%90.00%
Art detect by vivo80.00%100.00%88.89%
CLTDR80.00%100.00%88.89%
ArtDet-v280.00%100.00%88.89%
MaskRCNN_Text80.00%100.00%88.89%
A scene text detection method based on maskrcnn80.00%100.00%88.89%
DuXiaoman_OCR80.00%100.00%88.89%
TextBPN++(ResNet-50 with DCN)80.00%100.00%88.89%
I3CL(ViTAEv2-S)80.00%100.00%88.89%
AutoCV80.00%88.89%84.21%
CPNText-DETR(resnet-50)80.00%88.89%84.21%
Improved Progressive scale expansion Net70.00%100.00%82.35%
HOCRA70.00%100.00%82.35%
TextBPN++(ResNet-50)70.00%100.00%82.35%
TD-PPIoU (Long-Pretrain)70.00%100.00%82.35%
dp_nn70.00%100.00%82.35%
dp_pq_nn70.00%100.00%82.35%
CCISTD70.00%87.50%77.78%
180.00%72.73%76.19%
TP60.00%100.00%75.00%
PAT-S.Y60.00%100.00%75.00%
fdu_ai50.00%83.33%62.50%
Art_test_baseline_task150.00%62.50%55.56%
QAQ40.00%57.14%47.06%
EM-DATA40.00%57.14%47.06%
HOCRA_base30.00%100.00%46.15%
TextCohesion_130.00%60.00%40.00%
inception baseline20.00%66.67%30.77%
Unicamp-SRBR-PN-120.00%33.33%25.00%
MSR20.00%22.22%21.05%
RAST: Robust Arbitrary Shape Text Detector10.00%50.00%16.67%
CRAFT10.00%50.00%16.67%
NN_euro60.00%0.00%0.00%
NN_Chinese_and_euro60.00%0.00%0.00%