method: NetEase OCR2020-12-11
Authors: John
Affiliation: NetEase
Description: Our method breaks the task down into two stages,text area detect and text segmentation,like maskrcnn. The difference is the first stage in our model just detect the text area not the text lines, the second stage is like dbnet, segment the text area into lines. We merge the two stage into one model and use data augmentation and mutli-scale train and test.
method: BOE_AIoT_CTO2020-08-10
Authors: Guangwei Huang, Yue Li, Xiaojun Tang
Description: Our model trained PANNet and multi oriented corner text detectors, and ensemble multi-scale images detection results. Besides, we pre-process the training and testing images to make them clear. Multi-scale training, training data augment are used.
method: H&H Lab2019-04-22
Authors: HUST_VLRGROUP(Mengde Xu, Zhen Zhu,Hui Zhang, Mingkun Yang, Jiehua Yang) & HUAWEI_CLOUD_EI(Jing Wang, Yibin Ye, Shenggao Zhu, Dandan Tu)
Description: we ensemble EAST and multi oriented corner to create a robust scene text detector. To make network learning easier, we modified the mutli-oriented corner network with a new branch borrowed from east added.
Date | Method | Recall | Precision | Hmean | |||
---|---|---|---|---|---|---|---|
2020-12-11 | NetEase OCR | 98.37% | 99.59% | 98.98% | |||
2020-08-10 | BOE_AIoT_CTO | 98.76% | 98.92% | 98.84% | |||
2019-04-22 | H&H Lab | 97.93% | 97.95% | 97.94% | |||
2022-05-09 | A modified CTPN model 2.0 | 97.52% | 97.40% | 97.46% | |||
2021-10-22 | A modified CTPN model 1.0 | 97.16% | 97.10% | 97.13% | |||
2020-09-27 | only PAN | 96.51% | 96.80% | 96.66% | |||
2021-01-28 | 58CV | 97.48% | 95.43% | 96.45% | |||
2019-04-22 | GREAT-OCR Shanghai University | 96.62% | 96.21% | 96.42% | |||
2019-04-21 | IFLYTEK-textDet_v3 | 93.77% | 95.89% | 94.81% | |||
2019-04-22 | A Single-Shot Model for Robust Text Localization | 93.93% | 94.80% | 94.37% | |||
2019-04-19 | BiLSTM Based on CTPN | 91.40% | 94.03% | 92.69% | |||
2020-06-25 | EAST modified | 90.94% | 92.63% | 91.78% | |||
2019-04-17 | EAST_clip_enhance_896_giou | 89.69% | 93.77% | 91.68% | |||
2019-04-17 | Textline detection | 89.85% | 92.72% | 91.26% | |||
2019-04-20 | A Text Localization Method Based on CTPN | 85.23% | 88.73% | 86.94% | |||
2019-04-16 | Vsdnu | 85.07% | 87.17% | 86.11% | |||
2019-04-17 | Improved yolov3 model | 68.52% | 78.23% | 73.06% | |||
2021-05-10 | Original CRAFT for SROIE | 62.73% | 59.94% | 61.31% | |||
2019-04-17 | scene text detection weapon | 49.61% | 64.75% | 56.18% | |||
2021-04-13 | Practicing project for Scientific Research Subject (HCMUS master program) | 37.02% | 30.07% | 33.19% |