method: Sogou_OCR2019-11-08

Authors: Xudong Rao, Lulu Xu, Long Ma, Xuefeng Su

Description: An arbitrary-shaped text detection method based on Mask R-CNN, we use resnext-152 as our backbone, multi-scale training and testing are adopted to get the final results.

method: AntAI-Cognition2019-09-17

Authors: Qingpei Guo, Yudong Liu, Yonggang Li, Wei Zhang, Yongtao Wang, Jingdong Chen, Wei Chu

Affiliation: Ant Financial AI department & PKU

Description: We are from AntAI & PKU, it's a HTC-based ensemble method.

method: GNNets (single scale)2019-03-29

Authors: Jiaqi Duan; Youjiang Xu; Zhanghui Kuang; Hongbin Sun; Yue Guan; Wei Zhang

Description: Large geometry (eg, orientation) variances are the key challenges in the scene text detection. In this work, we first conduct experiments to investigate the capacity of networks for learning geometry variances on detecting scene texts, and find that networks can handle only limited text geometry variances. Then, we put forward a novel Geometry Normalization Module (GNM) with multiple branches, each of which is composed of one Scale Normalization Unit and one Orientation Normalization Unit, to normalize each text instance to one desired canonical geometry range through at least one branch. The GNM is general and readily plugged into existing convolutional neural network based text detectors to construct end-to-end Geometry Normalization Networks (GNNets).

Ranking Table

Description Paper Source Code
DateMethodHmeanPrecisionRecallAverage Precision
2019-11-08Sogou_OCR57.05%42.33%87.46%68.55%
2019-09-17AntAI-Cognition54.90%39.57%89.63%77.24%
2019-03-29GNNets (single scale)52.80%39.41%79.97%47.89%
2018-11-20Pixel-Anchor52.70%39.01%81.16%42.19%
2019-08-08JDAI52.31%37.11%88.60%73.66%
2019-03-19ccnet single scale52.16%37.49%85.71%68.08%
2019-05-30PMTD51.69%36.90%86.29%75.91%
2019-05-08Baidu-VIS51.66%37.18%84.62%30.96%
2019-03-23PMTD51.22%36.71%84.73%69.90%
2019-06-02NJU-ImagineLab50.41%35.04%89.81%75.59%
2019-08-20juxinli49.70%35.76%81.45%66.44%
2019-11-05baseline_maskrcnn48.55%34.43%82.30%60.07%
2019-06-11 4Paradigm-Data-Intelligence47.35%32.46%87.48%28.06%
2019-05-234Paradigm-Data-Intelligence47.34%32.51%87.05%28.48%
2018-01-22FOTS_v247.05%33.05%81.66%65.40%
2018-10-29Amap-CVLab46.39%32.63%80.22%66.26%
2019-07-15stela46.09%32.67%78.26%57.95%
2018-05-18PSENet_NJU_ImagineLab (single-scale)45.98%32.86%76.53%25.15%
2017-11-09EAST++44.21%30.80%78.34%27.79%
2019-09-18mask RCNN Augment+43.89%31.61%71.78%48.67%
2018-11-28CRAFT43.46%31.91%68.09%22.40%
2018-11-15USTC-NELSLIP43.44%29.18%84.97%69.13%
2017-06-28SCUT_DLVClab143.07%31.35%68.79%47.05%
2018-12-04 SPCNet_TongJi & UESTC (multi scale)41.71%28.26%79.62%22.37%
2018-08-23Sogou_MM41.00%27.07%84.50%67.28%
2018-12-22PKU_VDIG40.56%26.79%83.53%66.55%
2018-03-12ATL Cangjie OCR40.05%26.58%81.19%64.38%
2019-01-08ALGCD_CP39.92%26.57%80.24%24.09%
2018-12-02Shape-Aware Based Scene Text Detector (single scale)39.66%26.77%76.49%20.54%
2018-12-05EPTN-SJTU38.53%25.66%77.32%21.78%
2019-05-30Thesis-SE37.74%25.09%76.08%21.23%
2017-06-29SARI_FDU_RRPN_v134.74%22.99%71.06%51.15%
2018-12-13AutoCV33.15%20.79%81.76%42.92%
2018-12-03SPCNet_TongJi & UESTC (single scale)31.65%19.72%80.12%15.98%
2017-06-28SARI_FDU_RRPN_v029.58%18.86%68.59%35.58%
2017-06-30TH-DL29.11%20.54%49.94%30.05%
2019-01-03YY AI OCR Group25.51%16.44%56.96%11.36%
2017-06-30Sensetime OCR16.23%9.03%80.09%47.00%
2019-10-14TextSnake5.35%3.07%20.52%0.64%
2017-06-30linkage-ER-Flow4.81%2.95%13.05%0.99%

Ranking Graphic

Ranking Graphic