Inactive evaluations
method: AIX Lab., LG Electronics 2021-02-05
Authors: Wonju Lee and Joseph Lim
Affiliation: AI Lab., Future Tech. Center, CTO, LG Electronics
Email: wonju2.lee@lge.com
Description: We reimplemented the end-to-end text spotting method combined the Mask TextSpotter with Deformable ConvNets. We tried to pre-train synthText images for character-level annotations and to fine-tune real world images like following papers for the generalization. We don't use any private data.
method: TextBoxes++2017-06-09
Authors: Minghui Liao, Baoguang Shi, Xiang Bai
Description: TextBoxes++ and CRNN
method: FOTS2018-01-22
Authors: Xuebo Liu, Ding Liang, Shi Yan, Dagui Chen, Yu Qiao, Junjie Yan
Description: A unified end-to-end trainable Fast Oriented Text Spotting (FOTS) network for simultaneous detection and recognition, sharing computation and visual information among the two complementary tasks.
Date | Method | Recall | Precision | Hmean | |||
---|---|---|---|---|---|---|---|
2021-02-05 | AIX Lab., LG Electronics | 93.02% | 97.93% | 95.41% | |||
2017-06-09 | TextBoxes++ | 89.64% | 96.59% | 92.99% | |||
2018-01-22 | FOTS | 88.33% | 95.97% | 91.99% |