method: CRAFT2018-11-07

Authors: Youngmin Baek, Bado Lee, Dongyoon Han, Sangdoo Yun, and Hwalsuk Lee

Description: We propose a novel text detector called CRAFT. The proposed method effectively detects text area by exploring each character and affinity between characters. To overcome the lack of individual character level annotations, our framework exploits the pseudo character-level bounding boxes acquired by the learned interim model in a weakly-supervised manner.

Clova AI OCR Team, NAVER/LINE Corp.

method: Ali-Amap-xlab-v42018-04-17

Authors: Xinran Liu, Pei Zhang, Xingyue Chen, Ce Qi, Zhihui Hao

Description: Amap Vision Lab, AutoNavi, Alibaba Group. Instance-segmentation based method.

method: TencentAILab2017-11-21

Authors: Jingchao Zhou, Yitong Wang, Xing Ji, Zhifeng Li

Description: An FCN architecture with U-Net as the backbone for extracting multi-scale low level feature maps.

Ranking Table

Description Paper Source Code
DateMethodRecallPrecisionHmean
2018-11-07CRAFT92.40%97.67%94.96%
2018-04-17Ali-Amap-xlab-v491.67%94.99%93.30%
2017-11-21TencentAILab94.65%91.87%93.24%
2019-07-23CM-CV&AR91.42%93.98%92.68%
2018-01-22FOTS90.47%94.63%92.50%
2018-12-03SPCNet_TongJi & UESTC (single scale)90.59%93.77%92.16%
2017-08-10SRC-B-MachineLearningLab-v489.77%93.73%91.71%
2019-07-12stela89.66%93.74%91.65%
2017-06-25FEN89.26%94.09%91.61%
2019-05-29crpn.v289.55%93.59%91.53%
2019-05-03Mask Textspotter88.27%95.01%91.52%
2017-02-17NLPR-CASIA88.55%94.59%91.47%
2016-12-16RRPN-487.85%94.91%91.25%
2017-12-15EPTN-SJTU89.02%93.17%91.05%
2019-02-12NCSOFT VISION AI LAB91.73%90.09%90.90%
2018-03-05HappyCCL88.13%92.09%90.06%
2017-03-16Ali-Amap-xlab-v287.40%91.80%89.54%
2018-05-06cvmt_allStepNoLkTree88.64%90.16%89.39%
2017-03-23RTN85.08%93.85%89.25%
2018-05-06CVMT_frm6287.67%89.73%88.69%
2016-12-04Ali-Amap-xlab86.16%90.89%88.46%
2016-06-23Baidu IDL84.51%92.68%88.41%
2017-11-15Sensetime line-level detection81.52%96.48%88.37%
2017-01-22SRC-B-MachineLearningLab83.20%93.06%87.85%
2017-03-22MCLAB_TextBoxes_v284.38%91.21%87.67%
2018-01-04crpn83.80%91.90%87.66%
2017-07-04FPTD86.94%88.35%87.64%
2017-05-02TsinghuaOCR84.37%89.75%86.98%
2016-01-27SenseTime85.22%88.77%86.96%
2019-03-23SSP-RPNs with Pytorch87.73%85.51%86.60%
2016-07-18SCUT-HCII82.59%90.40%86.32%
2017-04-04xmu40382.83%89.95%86.24%
2017-02-21STDN-278.81%95.07%86.18%
2016-12-21MSRA_v179.87%93.32%86.08%
2017-02-28Tencent Youtu79.47%93.87%86.07%
2018-12-08Unicamp-SRBR-v280.97%91.80%86.05%
2019-04-19CenterText(Single-scale)83.16%88.75%85.86%
2017-02-07CAS_HotEye78.63%93.69%85.50%
2017-02-27CTDN-3-PN77.46%94.85%85.28%
2017-08-15MultDet83.80%86.42%85.09%
2016-08-31MCLAB_TextBoxes82.59%87.73%85.08%
2016-06-23SRC-B-TextProcessingLab80.18%90.50%85.03%
2016-04-10SCUT-HCII82.79%87.17%84.93%
2017-02-25CTDN276.11%95.20%84.59%
2018-05-06cvmt_frm5986.45%82.19%84.27%
2015-04-03StradVision78.85%90.21%84.15%
2017-05-27BUPT_NIRC_multi79.07%89.34%83.89%
2016-03-16TextConv+WordGraph75.85%93.30%83.68%
2017-05-27BUPT_NIRC_multi77.94%90.23%83.63%
2015-04-02VGGMaxNet_02579.58%88.04%83.59%
2015-03-26VGGMaxNet_cmb77.57%90.47%83.53%
2015-11-04MSER_Binary_CNN78.67%88.79%83.42%
2016-03-16TextConv+WordGraph75.23%93.28%83.29%
2015-03-23VGGMaxNet_01376.49%91.36%83.27%
2019-01-31ssprpns76.38%91.26%83.16%
2015-11-28CASIA_USTB-Cascaded77.63%89.50%83.14%
2017-03-05WeText76.40%91.16%83.13%
2015-03-23VGGMaxNet_1.675.71%91.85%83.00%
2017-03-24(๑•̀ㅂ•́)و✧82.34%83.54%82.94%
2015-10-21MCLAB_FCN77.81%88.14%82.65%
2018-12-08Unicamp-SRBR-v374.92%91.38%82.34%
2016-11-08CTPN73.72%92.77%82.15%
2017-03-01STDN78.90%85.64%82.14%
2016-01-18Text-CNN72.89%92.79%81.65%
2019-07-17AFCTPN71.82%94.55%81.63%
2017-04-01ConnLink74.16%90.14%81.37%
2017-04-06ConnLink_pre71.98%92.26%80.87%
2017-07-24Jack's TD73.99%89.06%80.83%
2017-05-29ssd pretrain on synthtext and scut 79.51%81.85%80.66%
2019-06-26std(single-scale)77.13%84.48%80.64%
2017-05-29FCN based network for Text Detection74.94%87.16%80.59%
2017-09-05P-SSD.v180.47%80.68%80.58%
2014-11-12HUST_MCLAB74.28%87.68%80.43%
2016-11-13RRPN-371.89%90.22%80.02%
2015-01-01BUCT_YST72.84%84.43%78.21%
2017-06-09MPT+Jar68.16%89.25%77.29%
2018-07-03ACI70.59%84.76%77.03%
2014-06-10IWRR201470.01%85.61%77.03%
2014-05-13SWT73.15%80.83%76.80%
2017-08-25bupt67.96%88.24%76.79%
2018-07-170.956_600_100069.30%85.73%76.64%
2018-07-170.956_1280_96067.27%88.88%76.58%
2018-07-17123_0.927_1280_96070.72%82.87%76.31%
2013-04-07USTB_TexStar66.45%88.47%75.89%
2017-04-26Cascade Filtering and Grouping69.06%82.96%75.38%
2019-02-16[BKU K15]73.24%77.26%75.20%
2013-04-05TextSpotter64.84%87.51%74.49%
2013-08-29UMD_IntegratedDisrimination62.26%89.17%73.33%
2013-04-08CASIA_NLPR68.24%78.89%73.18%
2018-12-08Unicamp-SRBR-v162.56%86.81%72.71%
2015-07-22ZText63.51%84.73%72.60%
2013-12-23BayesText63.51%84.30%72.44%
2013-04-08Text_detector_CASIA62.85%84.70%72.16%
2013-04-09I2R_NUS_FAR69.00%75.08%71.91%
2017-10-12TextFCN V275.53%67.75%71.43%
2017-08-13P-SSD.v165.52%77.51%71.01%
2014-08-18DetectText66.05%75.82%70.60%
2015-03-23VGGMaxNet_1054.87%97.35%70.18%
2013-04-08I2R_NUS66.17%72.54%69.21%
2013-04-08TH-TextLoc65.19%69.96%67.49%
2018-12-18test58.01%75.63%65.66%
2018-12-29fast_ret_sh_0255.32%76.09%64.06%
2017-04-02CNN_Text65.68%59.93%62.67%
2015-12-17TEST1752.46%77.05%62.42%
2013-04-06Text Detection53.42%74.15%62.10%
2017-03-24CNN64.91%57.86%61.18%
2015-08-18MSER with LocalSWT45.37%65.05%53.46%
2014-09-16MSERs51.78%52.48%52.13%
2015-08-18MSER44.62%53.31%48.58%
2013-04-25Baseline34.74%60.76%44.21%
2013-04-10Inkam35.27%31.20%33.11%

Ranking Graphic