AntAI-Cognition | 96.86% | 97.06% | 95.65% | 96.35% |
TH | 94.76% | 95.59% | 94.20% | 94.89% |
NJU-ImagineLab | 94.03% | 94.12% | 95.52% | 94.81% |
JDAI | 93.80% | 94.12% | 95.52% | 94.81% |
ccnet single scale | 92.87% | 95.59% | 97.01% | 96.30% |
adapt | 92.52% | 95.59% | 97.01% | 96.30% |
NCU_MSP | 92.52% | 95.59% | 97.01% | 96.30% |
4Paradigm-Data-Intelligence | 92.47% | 95.59% | 95.59% | 95.59% |
PKU_VDIG | 92.27% | 92.65% | 91.30% | 91.97% |
gccnet-ensemble | 91.98% | 94.12% | 94.12% | 94.12% |
NCU_MSP | 90.96% | 94.12% | 96.97% | 95.52% |
OSKDet | 90.33% | 91.18% | 88.57% | 89.86% |
EAST++ | 90.17% | 91.18% | 96.88% | 93.94% |
BDN | 89.73% | 94.12% | 95.52% | 94.81% |
Baidu-VIS | 89.25% | 92.65% | 92.65% | 92.65% |
PMTD | 88.90% | 89.71% | 87.14% | 88.41% |
4Paradigm-Data-Intelligence | 88.83% | 94.12% | 94.12% | 94.12% |
Pixel-Anchor | 88.04% | 88.24% | 96.77% | 92.31% |
FPDIoU | 87.73% | 88.24% | 93.75% | 90.91% |
PMTD | 87.61% | 88.24% | 90.91% | 89.55% |
juxinli | 86.94% | 88.24% | 89.55% | 88.89% |
fpa | 86.94% | 88.24% | 89.55% | 88.89% |
baseline_maskrcnn | 86.93% | 88.24% | 88.24% | 88.24% |
b | 86.39% | 92.65% | 91.30% | 91.97% |
USTC-NELSLIP | 86.18% | 91.18% | 86.11% | 88.57% |
Sogou_OCR | 86.16% | 86.76% | 92.19% | 89.39% |
Sogou_MM | 85.79% | 86.76% | 88.06% | 87.41% |
Thesis-SE | 84.47% | 88.24% | 90.91% | 89.55% |
GNNets (single scale) | 83.64% | 86.76% | 88.06% | 87.41% |
NCU_FPN | 83.38% | 89.71% | 92.42% | 91.04% |
Drew | 83.26% | 83.82% | 87.69% | 85.71% |
corner | 82.15% | 83.82% | 85.07% | 84.44% |
ALGCD_CP | 81.91% | 88.24% | 92.31% | 90.23% |
Amap-CVLab | 81.65% | 86.76% | 85.51% | 86.13% |
a | 81.52% | 91.18% | 91.18% | 91.18% |
gts | 81.28% | 82.35% | 90.32% | 86.15% |
dbnet_resnet18 | 80.67% | 86.76% | 88.06% | 87.41% |
Sensetime OCR | 78.76% | 82.35% | 82.35% | 82.35% |
FOTS_v2 | 78.09% | 79.41% | 88.52% | 83.72% |
NCU_MSP_light | 77.09% | 85.29% | 89.23% | 87.22% |
cascade | 76.59% | 77.94% | 91.38% | 84.13% |
stela | 76.48% | 82.35% | 81.16% | 81.75% |
PSENet_NJU_ImagineLab (single-scale) | 74.68% | 86.76% | 88.06% | 87.41% |
TextBPN++(ResNet-50) | 69.61% | 80.88% | 85.94% | 83.33% |
YY AI OCR Group | 68.25% | 76.47% | 88.14% | 81.89% |
mlt_ch_03 | 64.57% | 66.18% | 91.84% | 76.92% |
mask RCNN Augment+ | 64.27% | 67.65% | 88.46% | 76.67% |
TextPMs | 62.28% | 63.24% | 95.56% | 76.11% |
DCLNet | 61.80% | 86.76% | 81.94% | 84.29% |
ATL Cangjie OCR | 61.76% | 61.76% | 100.00% | 76.36% |
TextBPN++(ResNet-50 with DCN) | 59.46% | 77.94% | 79.10% | 78.52% |
DeepSolo++ (ResNet-50) | 57.93% | 60.29% | 65.08% | 62.60% |
SCUT_DLVClab1 | 54.42% | 57.35% | 88.64% | 69.64% |
SARI_FDU_RRPN_v1 | 34.42% | 35.29% | 92.31% | 51.06% |
SARI_FDU_RRPN_v0 | 33.51% | 33.82% | 92.00% | 49.46% |
linkage-ER-Flow | 6.74% | 11.76% | 38.10% | 17.98% |
TH-DL | 5.38% | 7.35% | 38.46% | 12.35% |
TextSnake | 0.25% | 2.94% | 10.53% | 4.60% |
CRAFT | |
Shape-Aware Based Scene Text Detector (single scale) | |
SPCNet_TongJi & UESTC (single scale) | |
SPCNet_TongJi & UESTC (multi scale) | |
EPTN-SJTU | |
AutoCV | |