| VGGMaxNet_025 | 100.00% | 100.00% | 100.00% |
| MSER_Binary_CNN | 100.00% | 100.00% | 100.00% |
| TextConv+WordGraph | 100.00% | 100.00% | 100.00% |
| TextConv+WordGraph | 100.00% | 100.00% | 100.00% |
| SCUT-HCII | 100.00% | 100.00% | 100.00% |
| RRPN-4 | 100.00% | 100.00% | 100.00% |
| STDN-2 | 100.00% | 100.00% | 100.00% |
| STDN | 100.00% | 100.00% | 100.00% |
| WeText | 100.00% | 100.00% | 100.00% |
| FCN based network for Text Detection | 100.00% | 100.00% | 100.00% |
| FEN | 100.00% | 100.00% | 100.00% |
| SRC-B-MachineLearningLab-v4 | 100.00% | 100.00% | 100.00% |
| P-SSD.v1 | 100.00% | 100.00% | 100.00% |
| TencentAILab | 100.00% | 100.00% | 100.00% |
| cvmt_allStepNoLkTree | 100.00% | 100.00% | 100.00% |
| CVMT_frm62 | 100.00% | 100.00% | 100.00% |
| NCSOFT VISION AI LAB | 100.00% | 100.00% | 100.00% |
| HIT | 100.00% | 100.00% | 100.00% |
| Craft++ | 100.00% | 100.00% | 100.00% |
| cvmt_frm59 | 95.00% | 92.00% | 93.48% |
| Ali-Amap-xlab-v4 | 100.00% | 80.00% | 88.89% |
| VGGMaxNet_1.6 | 75.00% | 100.00% | 85.71% |
| VGGMaxNet_013 | 75.00% | 100.00% | 85.71% |
| VGGMaxNet_cmb | 75.00% | 100.00% | 85.71% |
| MCLAB_FCN | 75.00% | 100.00% | 85.71% |
| CASIA_USTB-Cascaded | 75.00% | 100.00% | 85.71% |
| MCLAB_TextBoxes | 75.00% | 100.00% | 85.71% |
| RRPN-3 | 75.00% | 100.00% | 85.71% |
| Ali-Amap-xlab | 100.00% | 75.00% | 85.71% |
| MSRA_v1 | 75.00% | 100.00% | 85.71% |
| SRC-B-MachineLearningLab | 75.00% | 100.00% | 85.71% |
| CAS_HotEye | 75.00% | 100.00% | 85.71% |
| NLPR-CASIA | 75.00% | 100.00% | 85.71% |
| CTDN2 | 75.00% | 100.00% | 85.71% |
| CTDN-3-PN | 75.00% | 100.00% | 85.71% |
| Ali-Amap-xlab-v2 | 100.00% | 75.00% | 85.71% |
| MCLAB_TextBoxes_v2 | 75.00% | 100.00% | 85.71% |
| RTN | 75.00% | 100.00% | 85.71% |
| xmu403 | 75.00% | 100.00% | 85.71% |
| BUPT_NIRC_multi | 75.00% | 100.00% | 85.71% |
| ssd pretrain on synthtext and scut | 75.00% | 100.00% | 85.71% |
| FPTD | 75.00% | 100.00% | 85.71% |
| P-SSD.v1 | 75.00% | 100.00% | 85.71% |
| EPTN-SJTU | 75.00% | 100.00% | 85.71% |
| crpn | 75.00% | 100.00% | 85.71% |
| HappyCCL | 75.00% | 100.00% | 85.71% |
| ACI | 75.00% | 100.00% | 85.71% |
| Mask Textspotter | 75.00% | 100.00% | 85.71% |
| crpn.v2 | 75.00% | 100.00% | 85.71% |
| std(single-scale) | 75.00% | 100.00% | 85.71% |
| stela | 75.00% | 100.00% | 85.71% |
| VARCO | 75.00% | 100.00% | 85.71% |
| TextFuseNet | 75.00% | 100.00% | 85.71% |
| VARCO | 75.00% | 100.00% | 85.71% |
| FENET | 75.00% | 100.00% | 85.71% |
| NCU_MSP | 75.00% | 100.00% | 85.71% |
| 11111 | 75.00% | 100.00% | 85.71% |
| HBLAB-OCR | 75.00% | 100.00% | 85.71% |
CASIA_NLPR | 70.00% | 90.00% | 78.75% |
| FOTS | 70.00% | 90.00% | 78.75% |
Inkam | 75.00% | 75.00% | 75.00% |
| Tencent Youtu | 75.00% | 75.00% | 75.00% |
| (๑•̀ㅂ•́)و✧ | 75.00% | 75.00% | 75.00% |
| NCU_MSP | 75.00% | 75.00% | 75.00% |
TextSpotter | 50.00% | 100.00% | 66.67% |
Text Detection | 50.00% | 100.00% | 66.67% |
TH-TextLoc | 50.00% | 100.00% | 66.67% |
| IWRR2014 | 50.00% | 100.00% | 66.67% |
| VGGMaxNet_10 | 50.00% | 100.00% | 66.67% |
| MSER | 50.00% | 100.00% | 66.67% |
| TEST17 | 50.00% | 100.00% | 66.67% |
| Text-CNN | 50.00% | 100.00% | 66.67% |
| Baidu IDL | 50.00% | 100.00% | 66.67% |
| SRC-B-TextProcessingLab | 50.00% | 100.00% | 66.67% |
| CTPN | 50.00% | 100.00% | 66.67% |
| Sensetime line-level detection | 50.00% | 100.00% | 66.67% |
| 123_0.927_1280_960 | 100.00% | 50.00% | 66.67% |
| ssprpns | 50.00% | 100.00% | 66.67% |
| SSP-RPNs with Pytorch | 100.00% | 50.00% | 66.67% |
| AFCTPN | 50.00% | 100.00% | 66.67% |
| Hancom Vision | 50.00% | 100.00% | 66.67% |
| TextFCN V2 | 75.00% | 50.00% | 60.00% |
| StradVision | 45.00% | 86.67% | 59.24% |
Text_detector_CASIA | 50.00% | 66.67% | 57.14% |
| UMD_IntegratedDisrimination | 50.00% | 66.67% | 57.14% |
| HUST_MCLAB | 50.00% | 66.67% | 57.14% |
| SenseTime | 50.00% | 66.67% | 57.14% |
| ConnLink_pre | 50.00% | 66.67% | 57.14% |
| MultDet | 50.00% | 66.67% | 57.14% |
| 0.956_1280_960 | 50.00% | 66.67% | 57.14% |
| CRAFT | 50.00% | 66.67% | 57.14% |
| CenterText(Single-scale) | 50.00% | 66.67% | 57.14% |
| CM-CV&AR | 50.00% | 66.67% | 57.14% |
| ChinaUnicom-AI | 50.00% | 66.67% | 57.14% |
| SCUT-HCII | 50.00% | 50.00% | 50.00% |
| ConnLink | 50.00% | 50.00% | 50.00% |
| Jack's TD | 50.00% | 50.00% | 50.00% |
| test | 50.00% | 40.00% | 44.44% |
| TsinghuaOCR | 25.00% | 100.00% | 40.00% |
| MPT+Jar | 25.00% | 100.00% | 40.00% |
| fast_ret_sh_02 | 70.00% | 25.88% | 37.79% |
| 0.956_600_1000 | 50.00% | 28.57% | 36.36% |
| DetectText | 25.00% | 50.00% | 33.33% |
| Cascade Filtering and Grouping | 25.00% | 50.00% | 33.33% |
| BUPT_NIRC_multi | 20.00% | 80.00% | 32.00% |
| BayesText | 25.00% | 33.33% | 28.57% |
| ZText | 25.00% | 33.33% | 28.57% |
| CNN | 25.00% | 33.33% | 28.57% |
| CNN_Text | 25.00% | 33.33% | 28.57% |
| RRPN R-50 model_final 20200327 | 25.00% | 33.33% | 28.57% |
| MSERs | 20.00% | 48.00% | 28.24% |
| BUCT_YST | 25.00% | 25.00% | 25.00% |
| [BKU K15] | 50.00% | 16.67% | 25.00% |
USTB_TexStar | 0.00% | 0.00% | 0.00% |
I2R_NUS | 0.00% | 0.00% | 0.00% |
I2R_NUS_FAR | 0.00% | 0.00% | 0.00% |
Baseline | 0.00% | 0.00% | 0.00% |
| SWT | 0.00% | 0.00% | 0.00% |
| MSER with LocalSWT | 0.00% | 0.00% | 0.00% |
| bupt | 0.00% | 0.00% | 0.00% |
| SPCNet_TongJi & UESTC (single scale) | |
| Unicamp-SRBR-v1 | |
| Unicamp-SRBR-v2 | |
| Unicamp-SRBR-v3 | |