method: VARCO2020-12-15
Authors: Jaemyung Lee, Jusung Lee, Younghyun Lee, Joonsoo Lee
Affiliation: NCSOFT
Description: This work was supported by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government(MSIT) (No.1711117050, Text Localization and Recognition for Efficient Digital Contents Analysis)
method: VARCO2020-01-20
Authors: Jaemyung Lee, Jusung Lee, Younghyun Lee, Joonsoo Lee
Affiliation: NCSOFT
Description: This work was supported by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government(MSIT) (No.1711097855, Text Localization and Recognition for Efficient Digital Contents Analysis)
method: TencentAILab2017-09-11
Authors: Jingchao Zhou, Weidong Chen, Zhifeng Li
Description: A FCN architecture with U-Net as the backbone for extracting multi-scale low level feature maps.
Date | Method | Recall | Precision | Hmean | |||
---|---|---|---|---|---|---|---|
2020-12-15 | VARCO | 93.27% | 97.26% | 95.22% | |||
2020-01-20 | VARCO | 93.92% | 94.65% | 94.28% | |||
2017-09-11 | TencentAILab | 92.74% | 95.46% | 94.08% | |||
2020-05-13 | HIT | 92.28% | 95.77% | 93.99% | |||
2018-12-02 | EPTN-SJTU | 90.72% | 96.37% | 93.46% | |||
2017-09-16 | FTDN-SJTU | 90.71% | 95.43% | 93.01% | |||
2017-08-22 | Tencent Youtu | 90.20% | 95.40% | 92.73% | |||
2018-10-29 | NCSOFT VISION LAB | 89.98% | 93.44% | 91.67% | |||
2016-04-13 | Megvii-Image++ | 86.57% | 95.63% | 90.87% | |||
2015-04-02 | StradVision | 85.54% | 95.21% | 90.12% | |||
2018-12-08 | Unicamp-SRBR-v1 | 88.74% | 91.16% | 89.93% | |||
2015-09-14 | Pal_DAS16 | 87.95% | 91.14% | 89.51% | |||
2015-03-28 | Pal_ICDAR15 | 85.44% | 93.91% | 89.47% | |||
2014-01-21 | Sams | 89.40% | 88.83% | 89.11% | |||
2018-12-08 | Unicamp-SRBR-v2 | 86.52% | 91.83% | 89.10% | |||
2018-12-08 | Unicamp-SRBR-v3 | 85.45% | 90.26% | 87.79% | |||
2015-01-12 | BUCT_YST | 84.19% | 91.66% | 87.77% | |||
2013-04-03 | USTB_TexStar | 82.38% | 93.83% | 87.74% | |||
2018-06-29 | BUPT_816 | 84.41% | 90.87% | 87.52% | |||
2016-06-18 | ASTRoID | 81.27% | 94.60% | 87.43% | |||
2017-08-24 | bupt | 82.61% | 91.85% | 86.98% | |||
2017-07-26 | Jack's TD | 81.26% | 92.55% | 86.54% | |||
2013-08-21 | Blindsight2012 | 73.81% | 90.11% | 81.15% | |||
2013-04-08 | TH-TextLoc | 75.85% | 86.82% | 80.96% | |||
2013-04-09 | I2R_NUS_FAR | 71.42% | 84.17% | 77.27% | |||
2018-07-03 | ACI | 71.39% | 84.20% | 77.27% | |||
2013-05-06 | Baseline | 69.21% | 84.94% | 76.27% | |||
2013-04-06 | Text Detection | 73.18% | 78.62% | 75.81% | |||
2013-04-08 | I2R_NUS | 67.52% | 85.19% | 75.34% | |||
2013-04-08 | BDTD_CASIA | 67.05% | 78.98% | 72.53% | |||
2013-04-05 | OTCYMIST | 74.85% | 67.69% | 71.09% | |||
2016-12-29 | edition3_MSER_CNN | 74.85% | 63.68% | 68.82% | |||
2018-04-25 | Full YOLO | 60.65% | 70.56% | 65.23% | |||
2017-01-04 | E4MC | 67.48% | 52.25% | 58.89% | |||
2016-12-27 | edition2_MSER_CNN | 74.83% | 48.37% | 58.76% | |||
2018-04-25 | Tiny YOLO | 53.89% | 56.64% | 55.23% | |||
2013-04-10 | Inkam | 52.21% | 58.12% | 55.00% | |||
2016-12-22 | MSERCNN | 39.69% | 53.99% | 45.75% |