CASIA_USTB-Cascaded | 100.00% | 100.00% | 100.00% |
Tencent Youtu | 100.00% | 100.00% | 100.00% |
Sensetime line-level detection | 100.00% | 100.00% | 100.00% |
FOTS | 100.00% | 100.00% | 100.00% |
CM-CV&AR | 100.00% | 100.00% | 100.00% |
ChinaUnicom-AI | 100.00% | 100.00% | 100.00% |
HIT | 100.00% | 100.00% | 100.00% |
TextFuseNet | 100.00% | 100.00% | 100.00% |
VARCO | 100.00% | 100.00% | 100.00% |
NCSOFT VISION AI LAB | 98.00% | 96.00% | 96.99% |
Ali-Amap-xlab-v4 | 100.00% | 90.00% | 94.74% |
CRAFT | 100.00% | 90.00% | 94.74% |
FENET | 90.00% | 100.00% | 94.74% |
Jack's TD | 100.00% | 83.33% | 90.91% |
bupt | 100.00% | 83.33% | 90.91% |
SenseTime | 90.00% | 90.00% | 90.00% |
MSER_Binary_CNN | 90.00% | 88.89% | 89.44% |
Ali-Amap-xlab | 96.00% | 83.64% | 89.39% |
Ali-Amap-xlab-v2 | 96.00% | 83.64% | 89.39% |
VGGMaxNet_025 | 80.00% | 100.00% | 88.89% |
STDN | 80.00% | 100.00% | 88.89% |
WeText | 80.00% | 100.00% | 88.89% |
FEN | 80.00% | 100.00% | 88.89% |
SRC-B-MachineLearningLab-v4 | 80.00% | 100.00% | 88.89% |
VARCO | 80.00% | 100.00% | 88.89% |
Craft++ | 80.00% | 100.00% | 88.89% |
Hancom Vision | 90.00% | 85.71% | 87.80% |
MSRA_v1 | 90.00% | 83.33% | 86.54% |
ConnLink | 90.00% | 83.33% | 86.54% |
ConnLink_pre | 90.00% | 83.33% | 86.54% |
Cascade Filtering and Grouping | 90.00% | 83.33% | 86.54% |
VGGMaxNet_1.6 | 78.00% | 95.56% | 85.89% |
VGGMaxNet_013 | 78.00% | 95.56% | 85.89% |
VGGMaxNet_cmb | 78.00% | 95.56% | 85.89% |
NLPR-CASIA | 78.00% | 95.56% | 85.89% |
StradVision | 90.00% | 80.00% | 84.71% |
EPTN-SJTU | 80.00% | 88.89% | 84.21% |
NCU_MSP | 80.00% | 88.89% | 84.21% |
cvmt_allStepNoLkTree | 80.00% | 87.50% | 83.58% |
CVMT_frm62 | 80.00% | 87.50% | 83.58% |
cvmt_frm59 | 80.00% | 87.50% | 83.58% |
xmu403 | 70.00% | 100.00% | 82.35% |
0.956_1280_960 | 70.00% | 100.00% | 82.35% |
NCU_MSP | 78.00% | 85.45% | 81.56% |
TencentAILab | 88.00% | 73.85% | 80.30% |
DetectText | 70.00% | 87.50% | 77.78% |
SRC-B-TextProcessingLab | 70.00% | 87.50% | 77.78% |
ACI | 70.00% | 87.50% | 77.78% |
stela | 70.00% | 87.50% | 77.78% |
RTN | 78.00% | 73.33% | 75.59% |
TH-TextLoc | 60.00% | 100.00% | 75.00% |
STDN-2 | 60.00% | 100.00% | 75.00% |
CTDN2 | 60.00% | 100.00% | 75.00% |
CTDN-3-PN | 60.00% | 100.00% | 75.00% |
MCLAB_TextBoxes_v2 | 60.00% | 100.00% | 75.00% |
FCN based network for Text Detection | 60.00% | 100.00% | 75.00% |
Mask Textspotter | 60.00% | 100.00% | 75.00% |
I2R_NUS_FAR | 80.00% | 66.67% | 72.73% |
TsinghuaOCR | 60.00% | 85.71% | 70.59% |
ssprpns | 60.00% | 85.71% | 70.59% |
crpn.v2 | 60.00% | 85.71% | 70.59% |
std(single-scale) | 58.00% | 90.00% | 70.54% |
SWT | 70.00% | 70.00% | 70.00% |
RRPN R-50 model_final 20200327 | 60.00% | 83.33% | 69.77% |
I2R_NUS | 80.00% | 60.00% | 68.57% |
CAS_HotEye | 60.00% | 80.00% | 68.57% |
IWRR2014 | 70.00% | 66.67% | 68.29% |
SSP-RPNs with Pytorch | 58.00% | 82.50% | 68.11% |
HBLAB-OCR | 80.00% | 58.33% | 67.47% |
HappyCCL | 78.00% | 58.46% | 66.83% |
MPT+Jar | 50.00% | 100.00% | 66.67% |
0.956_600_1000 | 50.00% | 100.00% | 66.67% |
test | 60.00% | 75.00% | 66.67% |
[BKU K15] | 80.00% | 57.14% | 66.67% |
AFCTPN | 60.00% | 75.00% | 66.67% |
SRC-B-MachineLearningLab | 70.00% | 62.50% | 66.04% |
CNN_Text | 60.00% | 71.43% | 65.22% |
CenterText(Single-scale) | 58.00% | 74.00% | 65.03% |
123_0.927_1280_960 | 70.00% | 60.00% | 64.62% |
Text Detection | 60.00% | 66.67% | 63.16% |
BUPT_NIRC_multi | 60.00% | 66.67% | 63.16% |
BUPT_NIRC_multi | 60.00% | 66.67% | 63.16% |
CTPN | 70.00% | 57.14% | 62.92% |
UMD_IntegratedDisrimination | 50.00% | 83.33% | 62.50% |
RRPN-4 | 50.00% | 83.33% | 62.50% |
ssd pretrain on synthtext and scut | 50.00% | 83.33% | 62.50% |
BUCT_YST | 70.00% | 55.56% | 61.95% |
MCLAB_TextBoxes | 50.00% | 71.43% | 58.82% |
FPTD | 50.00% | 71.43% | 58.82% |
VGGMaxNet_10 | 40.00% | 100.00% | 57.14% |
MSER | 40.00% | 100.00% | 57.14% |
RRPN-3 | 40.00% | 100.00% | 57.14% |
CNN | 50.00% | 66.67% | 57.14% |
crpn | 50.00% | 66.67% | 57.14% |
MCLAB_FCN | 48.00% | 70.00% | 56.95% |
Baidu IDL | 58.00% | 55.00% | 56.46% |
SCUT-HCII | 58.00% | 54.67% | 56.28% |
SCUT-HCII | 58.00% | 52.86% | 55.31% |
MSERs | 60.00% | 50.00% | 54.55% |
MSER with LocalSWT | 38.00% | 92.00% | 53.78% |
USTB_TexStar | 40.00% | 80.00% | 53.33% |
BayesText | 40.00% | 80.00% | 53.33% |
ZText | 40.00% | 80.00% | 53.33% |
P-SSD.v1 | 46.00% | 62.00% | 52.81% |
TextSpotter | 40.00% | 66.67% | 50.00% |
(๑•̀ㅂ•́)و✧ | 70.00% | 37.50% | 48.84% |
HUST_MCLAB | 40.00% | 60.00% | 48.00% |
TextFCN V2 | 50.00% | 45.45% | 47.62% |
TextConv+WordGraph | 70.00% | 33.33% | 45.16% |
TextConv+WordGraph | 70.00% | 33.33% | 45.16% |
TEST17 | 50.00% | 37.50% | 42.86% |
Text_detector_CASIA | 50.00% | 35.71% | 41.67% |
Text-CNN | 40.00% | 42.86% | 41.38% |
11111 | 50.00% | 31.25% | 38.46% |
CASIA_NLPR | 40.00% | 33.33% | 36.36% |
MultDet | 40.00% | 30.77% | 34.78% |
Baseline | 20.00% | 100.00% | 33.33% |
P-SSD.v1 | 20.00% | 40.00% | 26.67% |
Inkam | 18.00% | 28.89% | 22.18% |
fast_ret_sh_02 | 10.00% | 50.00% | 16.67% |
SPCNet_TongJi & UESTC (single scale) | |
Unicamp-SRBR-v1 | |
Unicamp-SRBR-v2 | |
Unicamp-SRBR-v3 | |